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WGU Perf Ass D208_1.mhtml
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From: <Saved by Blink>
Snapshot-Content-Location: https://tasks.wgu.edu/student/001980761/course/23300006/task/2787/overview
Subject: WGU Performance Assessment
Date: Fri, 6 May 2022 02:27:55 -0000
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elf-center"></div><!----><div _ngcontent-aja-c13=3D"" class=3D"margin--left=
--30 margin--right--30 ng-star-inserted"><p _ngcontent-aja-c13=3D"" class=
=3D""><span _ngcontent-aja-c13=3D"" class=3D"text--bold">4030.5.1</span> : =
<span _ngcontent-aja-c13=3D"" class=3D"text--bold ema-margin--left--5">Mult=
iple Regression</span></p><p _ngcontent-aja-c13=3D"" class=3D"margin--botto=
m"><span _ngcontent-aja-c13=3D"">The graduate employs multiple regression a=
lgorithms with categorical and numerical predictors in describing phenomena=
. </span></p></div><div _ngcontent-aja-c13=3D"" class=3D"margin--left--30 m=
argin--right--30 ng-star-inserted"><p _ngcontent-aja-c13=3D"" class=3D""><s=
pan _ngcontent-aja-c13=3D"" class=3D"text--bold">4030.5.3</span> : <span _n=
gcontent-aja-c13=3D"" class=3D"text--bold ema-margin--left--5">Regression I=
mplications</span></p><p _ngcontent-aja-c13=3D"" class=3D"margin--bottom"><=
span _ngcontent-aja-c13=3D"">The graduate makes assertions based on regress=
ion modeling.</span></p></div></section><section _ngcontent-aja-c13=3D"" cl=
ass=3D"view-task__content__section margin--bottom--30"><div _ngcontent-aja-=
c13=3D"" class=3D"margin--bottom--20 h2 caps box"><a _ngcontent-aja-c13=3D"=
" class=3D"anchor" id=3D"taskOverviewIntroduction"></a><div _ngcontent-aja-=
c13=3D"" class=3D"box__item dm-shrink-to-self">Introduction</div><hr _ngcon=
tent-aja-c13=3D"" class=3D"box__item align-self-center"></div><div _ngconte=
nt-aja-c13=3D"" class=3D"margin--left--30 margin--right--30"><p>As a data a=
nalyst, you will assess continuous data sources for their relevance to spec=
ific research questions throughout your career.</p><p><br></p><p>In your pr=
evious coursework, you have performed data cleaning and exploratory data an=
alysis on your data. You have seen basic trends and patterns and now can st=
art building more sophisticated statistical models. In this course, you wil=
l use and explore both multiple regression and logistic regression models a=
nd their assumptions.</p><p><br></p><p>For this task, you will select <stro=
ng>one</strong> of the Data Sets and Associated Data Dictionaries from the =
following link:</p><p><br></p><p><a href=3D"https://lrps.wgu.edu/provision/=
227079957" rel=3D"noopener noreferrer" target=3D"_blank">Data Sets and Asso=
ciated Data Dictionaries</a></p><p><br></p><p>You will then review the data=
dictionary related to the raw data file you have chosen, and prepare the d=
ata set file for multiple regression modeling. The organizations connected =
with the given data sets for this task seek to analyze their operations and=
have collected variables of possible use to support decision-making proces=
ses. You will analyze your chosen data set using multiple regression modeli=
ng, create visualizations, and deliver the results of your analysis. It is =
recommended that you use the cleaned data set from your previous course.</p=
><p><br></p><p><em>Note: The link to the data files can also be found below=
in the web links section. If you have trouble accessing the link, copy and=
paste the link directly into your web browser.</em></p></div></section><se=
ction _ngcontent-aja-c13=3D"" class=3D"view-task__content__section margin--=
bottom--30"><div _ngcontent-aja-c13=3D"" class=3D"margin--bottom--20 h2 cap=
s box"><a _ngcontent-aja-c13=3D"" class=3D"anchor" id=3D"taskOverviewRequir=
ements"></a><div _ngcontent-aja-c13=3D"" class=3D"box__item dm-shrink-to-se=
lf">Requirements</div><hr _ngcontent-aja-c13=3D"" class=3D"box__item align-=
self-center"></div><div _ngcontent-aja-c13=3D"" class=3D"margin--left--30 m=
argin--right--30"><p><em>Your submission must be your original work. No mor=
e than a combined total of 30% of the submission and no more than a 10% mat=
ch to any one individual source can be directly quoted or closely paraphras=
ed from sources, even if cited correctly. The originality report that is pr=
ovided when you submit your task can be used as a guide.</em></p><p><br></p=
><p><em>You must use the rubric to direct the creation of your submission b=
ecause it provides detailed criteria that will be used to evaluate your wor=
k. Each requirement below may be evaluated by more than one rubric aspect. =
The rubric aspect titles may contain hyperlinks to relevant portions of the=
course.</em></p><p><br></p><p><em>Tasks may <strong>not</strong> be submit=
ted as cloud links, such as links to Google Docs, Google Slides, OneDrive, =
etc., unless specified in the task requirements. All other submissions must=
be file types that are uploaded and submitted as attachments (e.g., .docx,=
.pdf, .ppt).</em></p><p><em><br></em></p><p><strong>Part I: Research Quest=
ion</strong></p><p>A. Describe the purpose of this data analysis=
by doing the following:</p><p style=3D"MARGIN: 0in 0in 0pt 0.43in; TEXT-IN=
DENT: -0.25in;">1. Summarize <strong>one</strong> research quest=
ion that is relevant to a real-world organizational situation captured in t=
he data set you have selected and that you will answer using multiple regre=
ssion.</p><p style=3D"MARGIN: 0in 0in 0pt 0.43in; TEXT-INDENT: -0.25in;">2.=
Define the objectives or goals of the data analysis. Ensure tha=
t your objectives or goals are reasonable within the scope of the data dict=
ionary and are represented in the available data.</p><p><br></p><p><strong>=
Part II: Method Justification</strong></p><p>B. Describe multipl=
e regression methods by doing the following:</p><p style=3D"MARGIN: 0in 0in=
0pt 0.43in; TEXT-INDENT: -0.25in;">1. Summarize the assumptions=
of a multiple regression model.</p><p style=3D"MARGIN: 0in 0in 0pt 0.43in;=
TEXT-INDENT: -0.25in;">2. Describe the benefits of using the to=
ol(s) you have chosen (i.e., Python, R, or both) in support of various phas=
es of the analysis.</p><p style=3D"MARGIN: 0in 0in 0pt 0.43in; TEXT-INDENT:=
-0.25in;">3. Explain why multiple regression is an appropriate =
technique to analyze the research question summarized in Part I.</p><p><br>=
</p><p><strong>Part III: Data Preparation</strong></p><p>C. Summ=
arize the data preparation process for multiple regression analysis by doin=
g the following:</p><p style=3D"MARGIN: 0in 0in 0pt 0.43in; TEXT-INDENT: -0=
.25in;">1. Describe your data preparation goals and the data man=
ipulations that will be used to achieve the goals.</p><p style=3D"MARGIN: 0=
in 0in 0pt 0.43in; TEXT-INDENT: -0.25in;">2. Discuss the summary=
statistics, including the target variable and <em>all</em> predictor varia=
bles that you will need to gather from the data set to answer the research =
question.</p><p style=3D"MARGIN: 0in 0in 0pt 0.43in; TEXT-INDENT: -0.25in;"=
>3. Explain the steps used to prepare the data for the analysis,=
including the annotated code.</p><p style=3D"MARGIN: 0in 0in 0pt 0.43in; T=
EXT-INDENT: -0.25in;">4. Generate univariate and bivariate visua=
lizations of the distributions of variables in the cleaned data set. Includ=
e the target variable in your bivariate visualizations.</p><p style=3D"MARG=
IN: 0in 0in 0pt 0.43in; TEXT-INDENT: -0.25in;">5. Provide a copy=
of the prepared data set.</p><p><br></p><p><strong>Part IV: Model Comparis=
on and Analysis</strong></p><p>D. Compare an initial and a reduced mu=
ltiple regression model by doing the following:</p><p style=3D"MARGIN: 0in =
0in 0pt 0.43in; TEXT-INDENT: -0.25in;">1. Construct an initial multip=
le regression model from <em>all</em> predictors that were identified in Pa=
rt C2.</p><p style=3D"MARGIN: 0in 0in 0pt 0.43in; TEXT-INDENT: -0.25in;">2.=
Justify a statistically based variable selection procedure and a mod=
el evaluation metric to reduce the initial model in a way that aligns with =
the research question.</p><p style=3D"MARGIN: 0in 0in 0pt 0.43in; TEXT-INDE=
NT: -0.25in;">3. Provide a reduced multiple regression model tha=
t includes <em>both</em> categorical and continuous variables.</p><p><br></=
p><p style=3D"MARGIN: 0in 0in 0pt .35in; TEXT-INDENT: 0in;"><em>Note: The o=
utput should include a screenshot of each model.</em></p><p><em><br></em></=
p><p>E. Analyze the data set using your reduced multiple regress=
ion model by doing the following:</p><p style=3D"MARGIN: 0in 0in 0pt 0.43in=
; TEXT-INDENT: -0.25in;">1. Explain your data analysis process b=
y comparing the initial and reduced multiple regression models, including t=
he following elements:</p><p style=3D"MARGIN: 0in 0in 0pt 0.50in; TEXT-INDE=
NT: -0.2in;">=E2=80=A2 the logic of the variable selection techn=
ique</p><p style=3D"MARGIN: 0in 0in 0pt 0.50in; TEXT-INDENT: -0.2in;">=E2=
=80=A2 the model evaluation metric</p><p style=3D"MARGIN: 0in 0i=
n 0pt 0.50in; TEXT-INDENT: -0.2in;">=E2=80=A2 a residual plot</p=
><p style=3D"MARGIN: 0in 0in 0pt 0.43in; TEXT-INDENT: -0.25in;">2. &nb=
sp;Provide the output and <em>any</em> calculations of the analysis you per=
formed, including the model=E2=80=99s residual error.</p><p><br></p><p styl=
e=3D"MARGIN: 0in 0in 0pt .35in; TEXT-INDENT: 0in;"><em>Note: The output sho=
uld include the predictions from the refined model you used to perform the =
analysis. </em></p><p><br></p><p style=3D"MARGIN: 0in 0in 0pt 0.43in; =
TEXT-INDENT: -0.25in;">3. Provide the code used to support the i=
mplementation of the multiple regression models.</p><p><br></p><p><strong>P=
art V: Data Summary and Implications</strong></p><p>F. Summarize=
your findings and assumptions by doing the following:</p><p style=3D"MARGI=
N: 0in 0in 0pt 0.43in; TEXT-INDENT: -0.25in;">1. Discuss the res=
ults of your data analysis, including the following elements:</p><p style=
=3D"MARGIN: 0in 0in 0pt 0.50in; TEXT-INDENT: -0.2in;">=E2=80=A2 =
a regression equation for the reduced model</p><p style=3D"MARGIN: 0in 0in =
0pt 0.50in; TEXT-INDENT: -0.2in;">=E2=80=A2 an interpretation of=
coefficients of the statistically significant variables of the model</p><p=
style=3D"MARGIN: 0in 0in 0pt 0.50in; TEXT-INDENT: -0.2in;">=E2=80=A2 =
the statistical and practical significance of the model</p><p style=
=3D"MARGIN: 0in 0in 0pt 0.50in; TEXT-INDENT: -0.2in;">=E2=80=A2 =
the limitations of the data analysis</p><p style=3D"MARGIN: 0in 0in 0pt 0.4=
3in; TEXT-INDENT: -0.25in;">2. Recommend a course of action base=
d on your results.</p><p><br></p><p><strong>Part VI: Demonstration</strong>=
</p><p>G. Provide a Panopto video recording that includes <em>al=
l</em> of the following elements:</p><p style=3D"MARGIN: 0in 0in 0pt 0.50in=
; TEXT-INDENT: -0.2in;">=E2=80=A2 a demonstration of the functio=
nality of the code used for the analysis</p><p style=3D"MARGIN: 0in 0in 0pt=
0.50in; TEXT-INDENT: -0.2in;">=E2=80=A2 an identification of th=
e version of the programming environment</p><p style=3D"MARGIN: 0in 0in 0pt=
0.50in; TEXT-INDENT: -0.2in;">=E2=80=A2 a comparison of the <st=
rong>two</strong> multiple regression models you used in your analysis</p><=
p style=3D"MARGIN: 0in 0in 0pt 0.50in; TEXT-INDENT: -0.2in;">=E2=80=A2 =
; an interpretation of the coefficients.</p><p><br></p><p style=3D"MAR=
GIN: 0in 0in 0pt .35in; TEXT-INDENT: 0in;"><em>Note: The audiovisual record=
ing should feature you visibly presenting the material (i.e., not in voiceo=
ver or embedded video) and should simultaneously capture both you and your =
multimedia presentation.</em></p><p><br></p><p style=3D"MARGIN: 0in 0in 0pt=
.35in; TEXT-INDENT: 0in;"><em>Note: For instructions on how to access and =
use Panopto, use the "Panopto How-To Videos" web link provided below. To ac=
cess Panopto's website, navigate to the web link titled "Panopto Access," a=
nd then choose to log in using the =E2=80=9CWGU=E2=80=9D option. If prompte=
d, log in using your WGU student portal credentials, and then it will forwa=
rd you to Panopto=E2=80=99s website.</em></p><p><br></p><p style=3D"MARGIN:=
0in 0in 0pt .35in; TEXT-INDENT: 0in;"><em>To submit your recording, upload=
it to the Panopto drop box titled =E2=80=9CMultiple Regression Modeling =
=E2=80=93 NBM2 | D208.=E2=80=9D Once the recording has been uploaded and pr=
ocessed in Panopto's system, retrieve the URL of the recording from Panopto=
and copy and paste it into the Links option. Upload the remaining task req=
uirements using the Attachments option.</em></p><p><br></p><p>H.  =
;List the web sources used to acquire data or segments of third-party code =
to support the application. Ensure the web sources are reliable.</p><p><br>=
</p><p>I. Acknowledge sources, using in-text citations and refer=
ences, for content that is quoted, paraphrased, or summarized.</p><p><br></=
p><p>J. Demonstrate professional communication in the content an=
d presentation of your submission.</p><p><br></p><p><br></p><p><br></p><p><=
br></p><p><br></p></div><div _ngcontent-aja-c13=3D"" class=3D"margin--botto=
m--20 h4 ema-margin--top--20 ema-margin--left--10"><div _ngcontent-aja-c13=
=3D"" class=3D"box__item dm-shrink-to-self">File Restrictions</div></div><d=
iv _ngcontent-aja-c13=3D"" class=3D"margin--bottom-20 ema-margin--left--20"=
><span _ngcontent-aja-c13=3D"">File name may contain only letters, numbers,=
spaces, and these symbols: ! - _ . * ' ( )</span><br _ngcontent-aja-c13=3D=
""><span _ngcontent-aja-c13=3D"">File size limit: 200 MB</span><br _ngconte=
nt-aja-c13=3D""><span _ngcontent-aja-c13=3D"">File types allowed: doc, docx=
, rtf, xls, xlsx, ppt, pptx, odt, pdf, txt, qt, mov, mpg, avi, mp3, wav, mp=
4, wma, flv, asf, mpeg, wmv, m4v, svg, tif, tiff, jpeg, jpg, gif, png, zip,=
rar, tar, 7z</span><br _ngcontent-aja-c13=3D""></div></section><section _n=
gcontent-aja-c13=3D"" class=3D"view-task__content__section margin--bottom--=
30"><div _ngcontent-aja-c13=3D"" class=3D"margin--bottom--20 h2 caps box"><=
a _ngcontent-aja-c13=3D"" class=3D"anchor" id=3D"taskOverviewRubric"></a><d=
iv _ngcontent-aja-c13=3D"" class=3D"box__item dm-shrink-to-self">Rubric</di=
v><hr _ngcontent-aja-c13=3D"" class=3D"box__item align-self-center"></div><=
div _ngcontent-aja-c13=3D""><!----><app-rubric-grid _ngcontent-aja-c13=3D""=
_nghost-aja-c19=3D"" class=3D"ng-star-inserted"><!----><div _ngcontent-aja=
-c19=3D"" class=3D"rubric-grid ng-star-inserted"><div _ngcontent-aja-c19=3D=
"" class=3D"form__item__label form__item--block__label ema-margin--top--5 e=
ma-margin--bottom--5"><span _ngcontent-aja-c19=3D"">A1: Research Question</=
span><!----><span _ngcontent-aja-c19=3D"" class=3D"ng-star-inserted">:</spa=
n><!----><!----><span _ngcontent-aja-c19=3D"" class=3D"ng-star-inserted"><s=
pan _ngcontent-aja-c19=3D""></span></span></div><div _ngcontent-aja-c19=3D"=
" class=3D"rubric-container ema-margin--bottom--5"><div _ngcontent-aja-c19=
=3D"" class=3D"rubric-container__inner"><table _ngcontent-aja-c19=3D"" clas=
s=3D"table table--block rubric-grid__table" summary=3D"The Task Rubric Tabl=
e"><tbody _ngcontent-aja-c19=3D""><tr _ngcontent-aja-c19=3D""><!----><td _n=
gcontent-aja-c19=3D"" class=3D"rubric-grid__table__td ema-padding--left--0 =
ng-star-inserted" headers=3D"0rubricTableHeaderIdNotEvident"><app-rubric-re=
sult _ngcontent-aja-c19=3D"" _nghost-aja-c20=3D""><div _ngcontent-aja-c20=
=3D"" class=3D"rubric-result"><!----><!----><div _ngcontent-aja-c20=3D"" cl=
ass=3D"rubric-result__vertical-strip ng-star-inserted"></div><p _ngcontent-=
aja-c20=3D"" class=3D"rubric-result__title ema-margin--bottom--5"><b _ngcon=
tent-aja-c20=3D""><span _ngcontent-aja-c20=3D"">Not Evident</span></b></p><=
p _ngcontent-aja-c20=3D"" class=3D"rubric-result__description"><span _ngcon=
tent-aja-c20=3D"">A summary of 1 research question is not provided.</span><=
/p></div></app-rubric-result></td><td _ngcontent-aja-c19=3D"" class=3D"rubr=
ic-grid__table__td ema-padding--left--0 ng-star-inserted" headers=3D"1rubri=
cTableHeaderIdApproachingCompetence"><app-rubric-result _ngcontent-aja-c19=
=3D"" _nghost-aja-c20=3D""><div _ngcontent-aja-c20=3D"" class=3D"rubric-res=
ult"><!----><!----><div _ngcontent-aja-c20=3D"" class=3D"rubric-result__ver=
tical-strip rubric-result__vertical-strip--yellow ng-star-inserted"></div><=
p _ngcontent-aja-c20=3D"" class=3D"rubric-result__title ema-margin--bottom-=
-5"><b _ngcontent-aja-c20=3D""><span _ngcontent-aja-c20=3D"">Approaching Co=
mpetence</span></b></p><p _ngcontent-aja-c20=3D"" class=3D"rubric-result__d=
escription"><span _ngcontent-aja-c20=3D"">The summary includes 1 research q=
uestion, but the research question is not relevant to a realistic organizat=
ional situation or cannot be addressed using the selected data set and mult=
iple regression.</span></p></div></app-rubric-result></td><td _ngcontent-aj=
a-c19=3D"" class=3D"rubric-grid__table__td ema-padding--left--0 ng-star-ins=
erted" headers=3D"2rubricTableHeaderIdCompetent"><app-rubric-result _ngcont=
ent-aja-c19=3D"" _nghost-aja-c20=3D""><div _ngcontent-aja-c20=3D"" class=3D=
"rubric-result"><!----><!----><div _ngcontent-aja-c20=3D"" class=3D"rubric-=
result__vertical-strip rubric-result__vertical-strip--green ng-star-inserte=
d"></div><p _ngcontent-aja-c20=3D"" class=3D"rubric-result__title ema-margi=
n--bottom--5"><b _ngcontent-aja-c20=3D""><span _ngcontent-aja-c20=3D"">Comp=
etent</span></b></p><p _ngcontent-aja-c20=3D"" class=3D"rubric-result__desc=
ription"><span _ngcontent-aja-c20=3D"">The summary includes 1 research ques=
tion that is relevant to a realistic organizational situation and can be ad=
dressed using the selected data set and multiple regression.</span></p></di=
v></app-rubric-result></td></tr></tbody></table></div></div></div><div _ngc=
ontent-aja-c19=3D"" class=3D"rubric-grid ng-star-inserted"><div _ngcontent-=
aja-c19=3D"" class=3D"form__item__label form__item--block__label ema-margin=
--top--5 ema-margin--bottom--5"><span _ngcontent-aja-c19=3D"">A2: Objective=
s and Goals</span><!----><span _ngcontent-aja-c19=3D"" class=3D"ng-star-ins=
erted">:</span><!----><!----><span _ngcontent-aja-c19=3D"" class=3D"ng-star=
-inserted"><span _ngcontent-aja-c19=3D""></span></span></div><div _ngconten=
t-aja-c19=3D"" class=3D"rubric-container ema-margin--bottom--5"><div _ngcon=
tent-aja-c19=3D"" class=3D"rubric-container__inner"><table _ngcontent-aja-c=
19=3D"" class=3D"table table--block rubric-grid__table" summary=3D"The Task=
Rubric Table"><tbody _ngcontent-aja-c19=3D""><tr _ngcontent-aja-c19=3D""><=
!----><td _ngcontent-aja-c19=3D"" class=3D"rubric-grid__table__td ema-paddi=
ng--left--0 ng-star-inserted" headers=3D"0rubricTableHeaderIdNotEvident"><a=
pp-rubric-result _ngcontent-aja-c19=3D"" _nghost-aja-c20=3D""><div _ngconte=
nt-aja-c20=3D"" class=3D"rubric-result"><!----><!----><div _ngcontent-aja-c=
20=3D"" class=3D"rubric-result__vertical-strip ng-star-inserted"></div><p _=
ngcontent-aja-c20=3D"" class=3D"rubric-result__title ema-margin--bottom--5"=
><b _ngcontent-aja-c20=3D""><span _ngcontent-aja-c20=3D"">Not Evident</span=
></b></p><p _ngcontent-aja-c20=3D"" class=3D"rubric-result__description"><s=
pan _ngcontent-aja-c20=3D"">The submission does not define the objectives o=
r goals of the data analysis.</span></p></div></app-rubric-result></td><td =
_ngcontent-aja-c19=3D"" class=3D"rubric-grid__table__td ema-padding--left--=
0 ng-star-inserted" headers=3D"1rubricTableHeaderIdApproachingCompetence"><=
app-rubric-result _ngcontent-aja-c19=3D"" _nghost-aja-c20=3D""><div _ngcont=
ent-aja-c20=3D"" class=3D"rubric-result"><!----><!----><div _ngcontent-aja-=
c20=3D"" class=3D"rubric-result__vertical-strip rubric-result__vertical-str=
ip--yellow ng-star-inserted"></div><p _ngcontent-aja-c20=3D"" class=3D"rubr=
ic-result__title ema-margin--bottom--5"><b _ngcontent-aja-c20=3D""><span _n=
gcontent-aja-c20=3D"">Approaching Competence</span></b></p><p _ngcontent-aj=
a-c20=3D"" class=3D"rubric-result__description"><span _ngcontent-aja-c20=3D=
"">The submission defines the objectives or goals of the data analysis, but=
1 or more of the objectives or goals are not reasonable for the scope of t=
he scenario or are not represented in the available data.</span></p></div><=
/app-rubric-result></td><td _ngcontent-aja-c19=3D"" class=3D"rubric-grid__t=
able__td ema-padding--left--0 ng-star-inserted" headers=3D"2rubricTableHead=
erIdCompetent"><app-rubric-result _ngcontent-aja-c19=3D"" _nghost-aja-c20=
=3D""><div _ngcontent-aja-c20=3D"" class=3D"rubric-result"><!----><!----><d=
iv _ngcontent-aja-c20=3D"" class=3D"rubric-result__vertical-strip rubric-re=
sult__vertical-strip--green ng-star-inserted"></div><p _ngcontent-aja-c20=
=3D"" class=3D"rubric-result__title ema-margin--bottom--5"><b _ngcontent-aj=
a-c20=3D""><span _ngcontent-aja-c20=3D"">Competent</span></b></p><p _ngcont=
ent-aja-c20=3D"" class=3D"rubric-result__description"><span _ngcontent-aja-=
c20=3D"">The submission defines the objectives or goals of the data analysi=
s, and the objectives or goals are reasonable for the scope of the scenario=
and are represented in the available data.</span></p></div></app-rubric-re=
sult></td></tr></tbody></table></div></div></div><div _ngcontent-aja-c19=3D=
"" class=3D"rubric-grid ng-star-inserted"><div _ngcontent-aja-c19=3D"" clas=
s=3D"form__item__label form__item--block__label ema-margin--top--5 ema-marg=
in--bottom--5"><span _ngcontent-aja-c19=3D"">B1: Summary of Assumptions</sp=
an><!----><span _ngcontent-aja-c19=3D"" class=3D"ng-star-inserted">:</span>=
<!----><!----><span _ngcontent-aja-c19=3D"" class=3D"ng-star-inserted"><spa=
n _ngcontent-aja-c19=3D""></span></span></div><div _ngcontent-aja-c19=3D"" =
class=3D"rubric-container ema-margin--bottom--5"><div _ngcontent-aja-c19=3D=
"" class=3D"rubric-container__inner"><table _ngcontent-aja-c19=3D"" class=
=3D"table table--block rubric-grid__table" summary=3D"The Task Rubric Table=
"><tbody _ngcontent-aja-c19=3D""><tr _ngcontent-aja-c19=3D""><!----><td _ng=
content-aja-c19=3D"" class=3D"rubric-grid__table__td ema-padding--left--0 n=
g-star-inserted" headers=3D"0rubricTableHeaderIdNotEvident"><app-rubric-res=
ult _ngcontent-aja-c19=3D"" _nghost-aja-c20=3D""><div _ngcontent-aja-c20=3D=
"" class=3D"rubric-result"><!----><!----><div _ngcontent-aja-c20=3D"" class=
=3D"rubric-result__vertical-strip ng-star-inserted"></div><p _ngcontent-aja=
-c20=3D"" class=3D"rubric-result__title ema-margin--bottom--5"><b _ngconten=
t-aja-c20=3D""><span _ngcontent-aja-c20=3D"">Not Evident</span></b></p><p _=
ngcontent-aja-c20=3D"" class=3D"rubric-result__description"><span _ngconten=
t-aja-c20=3D"">The submission does not summarize the assumptions of a multi=
ple regression model.</span></p></div></app-rubric-result></td><td _ngconte=
nt-aja-c19=3D"" class=3D"rubric-grid__table__td ema-padding--left--0 ng-sta=
r-inserted" headers=3D"1rubricTableHeaderIdApproachingCompetence"><app-rubr=
ic-result _ngcontent-aja-c19=3D"" _nghost-aja-c20=3D""><div _ngcontent-aja-=
c20=3D"" class=3D"rubric-result"><!----><!----><div _ngcontent-aja-c20=3D""=
class=3D"rubric-result__vertical-strip rubric-result__vertical-strip--yell=
ow ng-star-inserted"></div><p _ngcontent-aja-c20=3D"" class=3D"rubric-resul=
t__title ema-margin--bottom--5"><b _ngcontent-aja-c20=3D""><span _ngcontent=
-aja-c20=3D"">Approaching Competence</span></b></p><p _ngcontent-aja-c20=3D=
"" class=3D"rubric-result__description"><span _ngcontent-aja-c20=3D"">The s=
ubmission summarizes the assumptions of a multiple regression model, but 1 =
or more of the assumptions contain inaccuracies.</span></p></div></app-rubr=
ic-result></td><td _ngcontent-aja-c19=3D"" class=3D"rubric-grid__table__td =
ema-padding--left--0 ng-star-inserted" headers=3D"2rubricTableHeaderIdCompe=
tent"><app-rubric-result _ngcontent-aja-c19=3D"" _nghost-aja-c20=3D""><div =
_ngcontent-aja-c20=3D"" class=3D"rubric-result"><!----><!----><div _ngconte=
nt-aja-c20=3D"" class=3D"rubric-result__vertical-strip rubric-result__verti=
cal-strip--green ng-star-inserted"></div><p _ngcontent-aja-c20=3D"" class=
=3D"rubric-result__title ema-margin--bottom--5"><b _ngcontent-aja-c20=3D"">=
<span _ngcontent-aja-c20=3D"">Competent</span></b></p><p _ngcontent-aja-c20=
=3D"" class=3D"rubric-result__description"><span _ngcontent-aja-c20=3D"">Th=
e submission accurately summarizes the assumptions of a multiple regression=
model.</span></p></div></app-rubric-result></td></tr></tbody></table></div=
></div></div><div _ngcontent-aja-c19=3D"" class=3D"rubric-grid ng-star-inse=
rted"><div _ngcontent-aja-c19=3D"" class=3D"form__item__label form__item--b=
lock__label ema-margin--top--5 ema-margin--bottom--5"><span _ngcontent-aja-=
c19=3D"">B2: Tool Benefits</span><!----><span _ngcontent-aja-c19=3D"" class=
=3D"ng-star-inserted">:</span><!----><!----><span _ngcontent-aja-c19=3D"" c=
lass=3D"ng-star-inserted"><span _ngcontent-aja-c19=3D""></span></span></div=
><div _ngcontent-aja-c19=3D"" class=3D"rubric-container ema-margin--bottom-=
-5"><div _ngcontent-aja-c19=3D"" class=3D"rubric-container__inner"><table _=
ngcontent-aja-c19=3D"" class=3D"table table--block rubric-grid__table" summ=
ary=3D"The Task Rubric Table"><tbody _ngcontent-aja-c19=3D""><tr _ngcontent=
-aja-c19=3D""><!----><td _ngcontent-aja-c19=3D"" class=3D"rubric-grid__tabl=
e__td ema-padding--left--0 ng-star-inserted" headers=3D"0rubricTableHeaderI=
dNotEvident"><app-rubric-result _ngcontent-aja-c19=3D"" _nghost-aja-c20=3D"=
"><div _ngcontent-aja-c20=3D"" class=3D"rubric-result"><!----><!----><div _=
ngcontent-aja-c20=3D"" class=3D"rubric-result__vertical-strip ng-star-inser=
ted"></div><p _ngcontent-aja-c20=3D"" class=3D"rubric-result__title ema-mar=
gin--bottom--5"><b _ngcontent-aja-c20=3D""><span _ngcontent-aja-c20=3D"">No=
t Evident</span></b></p><p _ngcontent-aja-c20=3D"" class=3D"rubric-result__=
description"><span _ngcontent-aja-c20=3D"">The submission does not describe=
the tool(s) chosen in support of various phases of the analysis.</span></p=
></div></app-rubric-result></td><td _ngcontent-aja-c19=3D"" class=3D"rubric=
-grid__table__td ema-padding--left--0 ng-star-inserted" headers=3D"1rubricT=
ableHeaderIdApproachingCompetence"><app-rubric-result _ngcontent-aja-c19=3D=
"" _nghost-aja-c20=3D""><div _ngcontent-aja-c20=3D"" class=3D"rubric-result=
"><!----><!----><div _ngcontent-aja-c20=3D"" class=3D"rubric-result__vertic=
al-strip rubric-result__vertical-strip--yellow ng-star-inserted"></div><p _=
ngcontent-aja-c20=3D"" class=3D"rubric-result__title ema-margin--bottom--5"=
><b _ngcontent-aja-c20=3D""><span _ngcontent-aja-c20=3D"">Approaching Compe=
tence</span></b></p><p _ngcontent-aja-c20=3D"" class=3D"rubric-result__desc=
ription"><span _ngcontent-aja-c20=3D"">The submission describes the tool(s)=
chosen in support of various phases of the analysis, but the description d=
oes not include the benefits of using the tool(s) for multiple regression, =
or the benefits do not logically align with the goal of the analysis. </spa=
n></p></div></app-rubric-result></td><td _ngcontent-aja-c19=3D"" class=3D"r=
ubric-grid__table__td ema-padding--left--0 ng-star-inserted" headers=3D"2ru=
bricTableHeaderIdCompetent"><app-rubric-result _ngcontent-aja-c19=3D"" _ngh=
ost-aja-c20=3D""><div _ngcontent-aja-c20=3D"" class=3D"rubric-result"><!---=
-><!----><div _ngcontent-aja-c20=3D"" class=3D"rubric-result__vertical-stri=
p rubric-result__vertical-strip--green ng-star-inserted"></div><p _ngconten=
t-aja-c20=3D"" class=3D"rubric-result__title ema-margin--bottom--5"><b _ngc=
ontent-aja-c20=3D""><span _ngcontent-aja-c20=3D"">Competent</span></b></p><=
p _ngcontent-aja-c20=3D"" class=3D"rubric-result__description"><span _ngcon=
tent-aja-c20=3D"">The submission describes the benefits of using the tool(s=
) chosen in support of various phases of the multiple regression analysis, =
and the benefits logically align with the goal of the analysis.</span></p><=
/div></app-rubric-result></td></tr></tbody></table></div></div></div><div _=
ngcontent-aja-c19=3D"" class=3D"rubric-grid ng-star-inserted"><div _ngconte=
nt-aja-c19=3D"" class=3D"form__item__label form__item--block__label ema-mar=
gin--top--5 ema-margin--bottom--5"><span _ngcontent-aja-c19=3D"">B3: Approp=
riate Technique</span><!----><span _ngcontent-aja-c19=3D"" class=3D"ng-star=
-inserted">:</span><!----><!----><span _ngcontent-aja-c19=3D"" class=3D"ng-=
star-inserted"><span _ngcontent-aja-c19=3D""></span></span></div><div _ngco=
ntent-aja-c19=3D"" class=3D"rubric-container ema-margin--bottom--5"><div _n=
gcontent-aja-c19=3D"" class=3D"rubric-container__inner"><table _ngcontent-a=
ja-c19=3D"" class=3D"table table--block rubric-grid__table" summary=3D"The =
Task Rubric Table"><tbody _ngcontent-aja-c19=3D""><tr _ngcontent-aja-c19=3D=
""><!----><td _ngcontent-aja-c19=3D"" class=3D"rubric-grid__table__td ema-p=
adding--left--0 ng-star-inserted" headers=3D"0rubricTableHeaderIdNotEvident=
"><app-rubric-result _ngcontent-aja-c19=3D"" _nghost-aja-c20=3D""><div _ngc=
ontent-aja-c20=3D"" class=3D"rubric-result"><!----><!----><div _ngcontent-a=
ja-c20=3D"" class=3D"rubric-result__vertical-strip ng-star-inserted"></div>=
<p _ngcontent-aja-c20=3D"" class=3D"rubric-result__title ema-margin--bottom=
--5"><b _ngcontent-aja-c20=3D""><span _ngcontent-aja-c20=3D"">Not Evident</=
span></b></p><p _ngcontent-aja-c20=3D"" class=3D"rubric-result__description=
"><span _ngcontent-aja-c20=3D"">The submission does not explain why multipl=
e regression is an appropriate technique.</span></p></div></app-rubric-resu=
lt></td><td _ngcontent-aja-c19=3D"" class=3D"rubric-grid__table__td ema-pad=
ding--left--0 ng-star-inserted" headers=3D"1rubricTableHeaderIdApproachingC=
ompetence"><app-rubric-result _ngcontent-aja-c19=3D"" _nghost-aja-c20=3D"">=
<div _ngcontent-aja-c20=3D"" class=3D"rubric-result"><!----><!----><div _ng=
content-aja-c20=3D"" class=3D"rubric-result__vertical-strip rubric-result__=
vertical-strip--yellow ng-star-inserted"></div><p _ngcontent-aja-c20=3D"" c=
lass=3D"rubric-result__title ema-margin--bottom--5"><b _ngcontent-aja-c20=
=3D""><span _ngcontent-aja-c20=3D"">Approaching Competence</span></b></p><p=
_ngcontent-aja-c20=3D"" class=3D"rubric-result__description"><span _ngcont=
ent-aja-c20=3D"">The submission explains why multiple regression is an appr=
opriate technique, but the explanation does not relate to the research ques=
tion from Part I, or the explanation contains inaccuracies.</span></p></div=
></app-rubric-result></td><td _ngcontent-aja-c19=3D"" class=3D"rubric-grid_=
_table__td ema-padding--left--0 ng-star-inserted" headers=3D"2rubricTableHe=
aderIdCompetent"><app-rubric-result _ngcontent-aja-c19=3D"" _nghost-aja-c20=
=3D""><div _ngcontent-aja-c20=3D"" class=3D"rubric-result"><!----><!----><d=
iv _ngcontent-aja-c20=3D"" class=3D"rubric-result__vertical-strip rubric-re=
sult__vertical-strip--green ng-star-inserted"></div><p _ngcontent-aja-c20=
=3D"" class=3D"rubric-result__title ema-margin--bottom--5"><b _ngcontent-aj=
a-c20=3D""><span _ngcontent-aja-c20=3D"">Competent</span></b></p><p _ngcont=
ent-aja-c20=3D"" class=3D"rubric-result__description"><span _ngcontent-aja-=
c20=3D"">The submission accurately explains why multiple regression is an a=
ppropriate technique to analyze the research question from Part I.</span></=
p></div></app-rubric-result></td></tr></tbody></table></div></div></div><di=
v _ngcontent-aja-c19=3D"" class=3D"rubric-grid ng-star-inserted"><div _ngco=
ntent-aja-c19=3D"" class=3D"form__item__label form__item--block__label ema-=
margin--top--5 ema-margin--bottom--5"><span _ngcontent-aja-c19=3D"">C1: Dat=
a Goals</span><!----><span _ngcontent-aja-c19=3D"" class=3D"ng-star-inserte=
d">:</span><!----><!----><span _ngcontent-aja-c19=3D"" class=3D"ng-star-ins=
erted"><span _ngcontent-aja-c19=3D""></span></span></div><div _ngcontent-aj=
a-c19=3D"" class=3D"rubric-container ema-margin--bottom--5"><div _ngcontent=
-aja-c19=3D"" class=3D"rubric-container__inner"><table _ngcontent-aja-c19=
=3D"" class=3D"table table--block rubric-grid__table" summary=3D"The Task R=
ubric Table"><tbody _ngcontent-aja-c19=3D""><tr _ngcontent-aja-c19=3D""><!-=
---><td _ngcontent-aja-c19=3D"" class=3D"rubric-grid__table__td ema-padding=
--left--0 ng-star-inserted" headers=3D"0rubricTableHeaderIdNotEvident"><app=
-rubric-result _ngcontent-aja-c19=3D"" _nghost-aja-c20=3D""><div _ngcontent=
-aja-c20=3D"" class=3D"rubric-result"><!----><!----><div _ngcontent-aja-c20=
=3D"" class=3D"rubric-result__vertical-strip ng-star-inserted"></div><p _ng=
content-aja-c20=3D"" class=3D"rubric-result__title ema-margin--bottom--5"><=
b _ngcontent-aja-c20=3D""><span _ngcontent-aja-c20=3D"">Not Evident</span><=
/b></p><p _ngcontent-aja-c20=3D"" class=3D"rubric-result__description"><spa=
n _ngcontent-aja-c20=3D"">The submission does not include a description of =
the data preparation goals.</span></p></div></app-rubric-result></td><td _n=
gcontent-aja-c19=3D"" class=3D"rubric-grid__table__td ema-padding--left--0 =
ng-star-inserted" headers=3D"1rubricTableHeaderIdApproachingCompetence"><ap=
p-rubric-result _ngcontent-aja-c19=3D"" _nghost-aja-c20=3D""><div _ngconten=
t-aja-c20=3D"" class=3D"rubric-result"><!----><!----><div _ngcontent-aja-c2=
0=3D"" class=3D"rubric-result__vertical-strip rubric-result__vertical-strip=
--yellow ng-star-inserted"></div><p _ngcontent-aja-c20=3D"" class=3D"rubric=
-result__title ema-margin--bottom--5"><b _ngcontent-aja-c20=3D""><span _ngc=
ontent-aja-c20=3D"">Approaching Competence</span></b></p><p _ngcontent-aja-=
c20=3D"" class=3D"rubric-result__description"><span _ngcontent-aja-c20=3D""=
>The submission describes the data preparation goals but not the data manip=
ulations that will be used to achieve the goals. Or the manipulations are n=
ot in alignment with the data preparation goals, multiple regression analys=
is, or the research question.</span></p></div></app-rubric-result></td><td =
_ngcontent-aja-c19=3D"" class=3D"rubric-grid__table__td ema-padding--left--=
0 ng-star-inserted" headers=3D"2rubricTableHeaderIdCompetent"><app-rubric-r=
esult _ngcontent-aja-c19=3D"" _nghost-aja-c20=3D""><div _ngcontent-aja-c20=
=3D"" class=3D"rubric-result"><!----><!----><div _ngcontent-aja-c20=3D"" cl=
ass=3D"rubric-result__vertical-strip rubric-result__vertical-strip--green n=
g-star-inserted"></div><p _ngcontent-aja-c20=3D"" class=3D"rubric-result__t=
itle ema-margin--bottom--5"><b _ngcontent-aja-c20=3D""><span _ngcontent-aja=
-c20=3D"">Competent</span></b></p><p _ngcontent-aja-c20=3D"" class=3D"rubri=
c-result__description"><span _ngcontent-aja-c20=3D"">The submission describ=
es the data preparation goals and the data manipulations that will be used =
to achieve the goals. The goals and manipulations align with each other and=
with multiple regression analysis and the research question. </span></p></=
div></app-rubric-result></td></tr></tbody></table></div></div></div><div _n=
gcontent-aja-c19=3D"" class=3D"rubric-grid ng-star-inserted"><div _ngconten=
t-aja-c19=3D"" class=3D"form__item__label form__item--block__label ema-marg=
in--top--5 ema-margin--bottom--5"><span _ngcontent-aja-c19=3D"">C2: Summary=
Statistics</span><!----><span _ngcontent-aja-c19=3D"" class=3D"ng-star-ins=
erted">:</span><!----><!----><span _ngcontent-aja-c19=3D"" class=3D"ng-star=
-inserted"><span _ngcontent-aja-c19=3D""></span></span></div><div _ngconten=
t-aja-c19=3D"" class=3D"rubric-container ema-margin--bottom--5"><div _ngcon=
tent-aja-c19=3D"" class=3D"rubric-container__inner"><table _ngcontent-aja-c=
19=3D"" class=3D"table table--block rubric-grid__table" summary=3D"The Task=
Rubric Table"><tbody _ngcontent-aja-c19=3D""><tr _ngcontent-aja-c19=3D""><=
!----><td _ngcontent-aja-c19=3D"" class=3D"rubric-grid__table__td ema-paddi=
ng--left--0 ng-star-inserted" headers=3D"0rubricTableHeaderIdNotEvident"><a=
pp-rubric-result _ngcontent-aja-c19=3D"" _nghost-aja-c20=3D""><div _ngconte=
nt-aja-c20=3D"" class=3D"rubric-result"><!----><!----><div _ngcontent-aja-c=
20=3D"" class=3D"rubric-result__vertical-strip ng-star-inserted"></div><p _=
ngcontent-aja-c20=3D"" class=3D"rubric-result__title ema-margin--bottom--5"=
><b _ngcontent-aja-c20=3D""><span _ngcontent-aja-c20=3D"">Not Evident</span=
></b></p><p _ngcontent-aja-c20=3D"" class=3D"rubric-result__description"><s=
pan _ngcontent-aja-c20=3D"">The submission does not discuss the summary sta=
tistics.</span></p></div></app-rubric-result></td><td _ngcontent-aja-c19=3D=
"" class=3D"rubric-grid__table__td ema-padding--left--0 ng-star-inserted" h=
eaders=3D"1rubricTableHeaderIdApproachingCompetence"><app-rubric-result _ng=
content-aja-c19=3D"" _nghost-aja-c20=3D""><div _ngcontent-aja-c20=3D"" clas=
s=3D"rubric-result"><!----><!----><div _ngcontent-aja-c20=3D"" class=3D"rub=
ric-result__vertical-strip rubric-result__vertical-strip--yellow ng-star-in=
serted"></div><p _ngcontent-aja-c20=3D"" class=3D"rubric-result__title ema-=
margin--bottom--5"><b _ngcontent-aja-c20=3D""><span _ngcontent-aja-c20=3D""=
>Approaching Competence</span></b></p><p _ngcontent-aja-c20=3D"" class=3D"r=
ubric-result__description"><span _ngcontent-aja-c20=3D"">The submission dis=
cusses summary statistics but does not discuss the target variable or <i>al=
l</i> predictor variables that need to be gathered from the data set to ans=
wer the research question, or the discussion contains inaccuracies. </span>=
</p></div></app-rubric-result></td><td _ngcontent-aja-c19=3D"" class=3D"rub=
ric-grid__table__td ema-padding--left--0 ng-star-inserted" headers=3D"2rubr=
icTableHeaderIdCompetent"><app-rubric-result _ngcontent-aja-c19=3D"" _nghos=
t-aja-c20=3D""><div _ngcontent-aja-c20=3D"" class=3D"rubric-result"><!---->=
<!----><div _ngcontent-aja-c20=3D"" class=3D"rubric-result__vertical-strip =
rubric-result__vertical-strip--green ng-star-inserted"></div><p _ngcontent-=
aja-c20=3D"" class=3D"rubric-result__title ema-margin--bottom--5"><b _ngcon=
tent-aja-c20=3D""><span _ngcontent-aja-c20=3D"">Competent</span></b></p><p =
_ngcontent-aja-c20=3D"" class=3D"rubric-result__description"><span _ngconte=
nt-aja-c20=3D"">The submission accurately discusses the summary statistics =
and discusses the target variable and <i>all</i> predictor variables that n=
eed to be gathered from the data set to answer the selected research questi=
on. </span></p></div></app-rubric-result></td></tr></tbody></table></div></=
div></div><div _ngcontent-aja-c19=3D"" class=3D"rubric-grid ng-star-inserte=
d"><div _ngcontent-aja-c19=3D"" class=3D"form__item__label form__item--bloc=
k__label ema-margin--top--5 ema-margin--bottom--5"><span _ngcontent-aja-c19=
=3D"">C3: Steps to Prepare the Data</span><!----><span _ngcontent-aja-c19=
=3D"" class=3D"ng-star-inserted">:</span><!----><!----><span _ngcontent-aja=
-c19=3D"" class=3D"ng-star-inserted"><span _ngcontent-aja-c19=3D""></span><=
/span></div><div _ngcontent-aja-c19=3D"" class=3D"rubric-container ema-marg=
in--bottom--5"><div _ngcontent-aja-c19=3D"" class=3D"rubric-container__inne=
r"><table _ngcontent-aja-c19=3D"" class=3D"table table--block rubric-grid__=
table" summary=3D"The Task Rubric Table"><tbody _ngcontent-aja-c19=3D""><tr=
_ngcontent-aja-c19=3D""><!----><td _ngcontent-aja-c19=3D"" class=3D"rubric=
-grid__table__td ema-padding--left--0 ng-star-inserted" headers=3D"0rubricT=
ableHeaderIdNotEvident"><app-rubric-result _ngcontent-aja-c19=3D"" _nghost-=
aja-c20=3D""><div _ngcontent-aja-c20=3D"" class=3D"rubric-result"><!----><!=
----><div _ngcontent-aja-c20=3D"" class=3D"rubric-result__vertical-strip ng=
-star-inserted"></div><p _ngcontent-aja-c20=3D"" class=3D"rubric-result__ti=
tle ema-margin--bottom--5"><b _ngcontent-aja-c20=3D""><span _ngcontent-aja-=
c20=3D"">Not Evident</span></b></p><p _ngcontent-aja-c20=3D"" class=3D"rubr=
ic-result__description"><span _ngcontent-aja-c20=3D"">The submission does n=
ot explain the steps used to prepare the data for the analysis. </span></p>=
</div></app-rubric-result></td><td _ngcontent-aja-c19=3D"" class=3D"rubric-=
grid__table__td ema-padding--left--0 ng-star-inserted" headers=3D"1rubricTa=
bleHeaderIdApproachingCompetence"><app-rubric-result _ngcontent-aja-c19=3D"=
" _nghost-aja-c20=3D""><div _ngcontent-aja-c20=3D"" class=3D"rubric-result"=
><!----><!----><div _ngcontent-aja-c20=3D"" class=3D"rubric-result__vertica=
l-strip rubric-result__vertical-strip--yellow ng-star-inserted"></div><p _n=
gcontent-aja-c20=3D"" class=3D"rubric-result__title ema-margin--bottom--5">=
<b _ngcontent-aja-c20=3D""><span _ngcontent-aja-c20=3D"">Approaching Compet=
ence</span></b></p><p _ngcontent-aja-c20=3D"" class=3D"rubric-result__descr=
iption"><span _ngcontent-aja-c20=3D"">The submission explains the steps use=
d to prepare the data for the analysis, but is missing 1 or more necessary =
steps, or the steps do not include the annotated code, or are not related t=
o a multiple regression analysis.</span></p></div></app-rubric-result></td>=
<td _ngcontent-aja-c19=3D"" class=3D"rubric-grid__table__td ema-padding--le=
ft--0 ng-star-inserted" headers=3D"2rubricTableHeaderIdCompetent"><app-rubr=
ic-result _ngcontent-aja-c19=3D"" _nghost-aja-c20=3D""><div _ngcontent-aja-=
c20=3D"" class=3D"rubric-result"><!----><!----><div _ngcontent-aja-c20=3D""=
class=3D"rubric-result__vertical-strip rubric-result__vertical-strip--gree=
n ng-star-inserted"></div><p _ngcontent-aja-c20=3D"" class=3D"rubric-result=
__title ema-margin--bottom--5"><b _ngcontent-aja-c20=3D""><span _ngcontent-=
aja-c20=3D"">Competent</span></b></p><p _ngcontent-aja-c20=3D"" class=3D"ru=
bric-result__description"><span _ngcontent-aja-c20=3D"">The submission expl=
ains <i>all</i> necessary steps used to prepare the data for the analysis. =
The steps include the annotated code and relate to preparing for a multiple=
regression analysis.</span></p></div></app-rubric-result></td></tr></tbody=
></table></div></div></div><div _ngcontent-aja-c19=3D"" class=3D"rubric-gri=
d ng-star-inserted"><div _ngcontent-aja-c19=3D"" class=3D"form__item__label=
form__item--block__label ema-margin--top--5 ema-margin--bottom--5"><span _=
ngcontent-aja-c19=3D"">C4: Visualizations</span><!----><span _ngcontent-aja=
-c19=3D"" class=3D"ng-star-inserted">:</span><!----><!----><span _ngcontent=
-aja-c19=3D"" class=3D"ng-star-inserted"><span _ngcontent-aja-c19=3D""></sp=
an></span></div><div _ngcontent-aja-c19=3D"" class=3D"rubric-container ema-=
margin--bottom--5"><div _ngcontent-aja-c19=3D"" class=3D"rubric-container__=
inner"><table _ngcontent-aja-c19=3D"" class=3D"table table--block rubric-gr=
id__table" summary=3D"The Task Rubric Table"><tbody _ngcontent-aja-c19=3D""=
><tr _ngcontent-aja-c19=3D""><!----><td _ngcontent-aja-c19=3D"" class=3D"ru=
bric-grid__table__td ema-padding--left--0 ng-star-inserted" headers=3D"0rub=
ricTableHeaderIdNotEvident"><app-rubric-result _ngcontent-aja-c19=3D"" _ngh=
ost-aja-c20=3D""><div _ngcontent-aja-c20=3D"" class=3D"rubric-result"><!---=
-><!----><div _ngcontent-aja-c20=3D"" class=3D"rubric-result__vertical-stri=
p ng-star-inserted"></div><p _ngcontent-aja-c20=3D"" class=3D"rubric-result=
__title ema-margin--bottom--5"><b _ngcontent-aja-c20=3D""><span _ngcontent-=
aja-c20=3D"">Not Evident</span></b></p><p _ngcontent-aja-c20=3D"" class=3D"=
rubric-result__description"><span _ngcontent-aja-c20=3D"">The submission do=
es not include <i>both</i> univariate and bivariate visualizations of the d=
istributions of variables in the cleaned data set.</span></p></div></app-ru=
bric-result></td><td _ngcontent-aja-c19=3D"" class=3D"rubric-grid__table__t=
d ema-padding--left--0 ng-star-inserted" headers=3D"1rubricTableHeaderIdApp=
roachingCompetence"><app-rubric-result _ngcontent-aja-c19=3D"" _nghost-aja-=
c20=3D""><div _ngcontent-aja-c20=3D"" class=3D"rubric-result"><!----><!----=
><div _ngcontent-aja-c20=3D"" class=3D"rubric-result__vertical-strip rubric=
-result__vertical-strip--yellow ng-star-inserted"></div><p _ngcontent-aja-c=
20=3D"" class=3D"rubric-result__title ema-margin--bottom--5"><b _ngcontent-=
aja-c20=3D""><span _ngcontent-aja-c20=3D"">Approaching Competence</span></b=
></p><p _ngcontent-aja-c20=3D"" class=3D"rubric-result__description"><span =
_ngcontent-aja-c20=3D"">The submission generates <i>both</i> univariate and=
bivariate visualizations of the distributions of variables in the cleaned =
data set, but <i>any</i> of the visualizations contain inaccuracies, or the=
bivariate visualizations do not include the target variable. </span></p></=
div></app-rubric-result></td><td _ngcontent-aja-c19=3D"" class=3D"rubric-gr=
id__table__td ema-padding--left--0 ng-star-inserted" headers=3D"2rubricTabl=
eHeaderIdCompetent"><app-rubric-result _ngcontent-aja-c19=3D"" _nghost-aja-=
c20=3D""><div _ngcontent-aja-c20=3D"" class=3D"rubric-result"><!----><!----=
><div _ngcontent-aja-c20=3D"" class=3D"rubric-result__vertical-strip rubric=
-result__vertical-strip--green ng-star-inserted"></div><p _ngcontent-aja-c2=
0=3D"" class=3D"rubric-result__title ema-margin--bottom--5"><b _ngcontent-a=
ja-c20=3D""><span _ngcontent-aja-c20=3D"">Competent</span></b></p><p _ngcon=
tent-aja-c20=3D"" class=3D"rubric-result__description"><span _ngcontent-aja=
-c20=3D"">The submission accurately generates <i>both</i> univariate and bi=
variate visualizations of the distributions of variables in the cleaned dat=
a set. The bivariate visualizations include the target variable. </span></p=
></div></app-rubric-result></td></tr></tbody></table></div></div></div><div=
_ngcontent-aja-c19=3D"" class=3D"rubric-grid ng-star-inserted"><div _ngcon=
tent-aja-c19=3D"" class=3D"form__item__label form__item--block__label ema-m=
argin--top--5 ema-margin--bottom--5"><span _ngcontent-aja-c19=3D"">C5: Prep=
ared Data Set</span><!----><span _ngcontent-aja-c19=3D"" class=3D"ng-star-i=
nserted">:</span><!----><!----><span _ngcontent-aja-c19=3D"" class=3D"ng-st=
ar-inserted"><span _ngcontent-aja-c19=3D""></span></span></div><div _ngcont=
ent-aja-c19=3D"" class=3D"rubric-container ema-margin--bottom--5"><div _ngc=
ontent-aja-c19=3D"" class=3D"rubric-container__inner"><table _ngcontent-aja=
-c19=3D"" class=3D"table table--block rubric-grid__table" summary=3D"The Ta=
sk Rubric Table"><tbody _ngcontent-aja-c19=3D""><tr _ngcontent-aja-c19=3D""=
><!----><td _ngcontent-aja-c19=3D"" class=3D"rubric-grid__table__td ema-pad=
ding--left--0 ng-star-inserted" headers=3D"0rubricTableHeaderIdNotEvident">=
<app-rubric-result _ngcontent-aja-c19=3D"" _nghost-aja-c20=3D""><div _ngcon=
tent-aja-c20=3D"" class=3D"rubric-result"><!----><!----><div _ngcontent-aja=
-c20=3D"" class=3D"rubric-result__vertical-strip ng-star-inserted"></div><p=
_ngcontent-aja-c20=3D"" class=3D"rubric-result__title ema-margin--bottom--=
5"><b _ngcontent-aja-c20=3D""><span _ngcontent-aja-c20=3D"">Not Evident</sp=
an></b></p><p _ngcontent-aja-c20=3D"" class=3D"rubric-result__description">=
<span _ngcontent-aja-c20=3D"">The submission does not provide a data set.</=
span></p></div></app-rubric-result></td><td _ngcontent-aja-c19=3D"" class=
=3D"rubric-grid__table__td ema-padding--left--0 ng-star-inserted" headers=
=3D"1rubricTableHeaderIdApproachingCompetence"><app-rubric-result _ngconten=
t-aja-c19=3D"" _nghost-aja-c20=3D""><div _ngcontent-aja-c20=3D"" class=3D"r=
ubric-result"><!----><!----><div _ngcontent-aja-c20=3D"" class=3D"rubric-re=
sult__vertical-strip rubric-result__vertical-strip--yellow ng-star-inserted=
"></div><p _ngcontent-aja-c20=3D"" class=3D"rubric-result__title ema-margin=
--bottom--5"><b _ngcontent-aja-c20=3D""><span _ngcontent-aja-c20=3D"">Appro=
aching Competence</span></b></p><p _ngcontent-aja-c20=3D"" class=3D"rubric-=
result__description"><span _ngcontent-aja-c20=3D"">The submission provides =
a copy of a prepared data set, but the data set is not fully prepared or is=
incomplete.</span></p></div></app-rubric-result></td><td _ngcontent-aja-c1=
9=3D"" class=3D"rubric-grid__table__td ema-padding--left--0 ng-star-inserte=
d" headers=3D"2rubricTableHeaderIdCompetent"><app-rubric-result _ngcontent-=
aja-c19=3D"" _nghost-aja-c20=3D""><div _ngcontent-aja-c20=3D"" class=3D"rub=
ric-result"><!----><!----><div _ngcontent-aja-c20=3D"" class=3D"rubric-resu=
lt__vertical-strip rubric-result__vertical-strip--green ng-star-inserted"><=
/div><p _ngcontent-aja-c20=3D"" class=3D"rubric-result__title ema-margin--b=
ottom--5"><b _ngcontent-aja-c20=3D""><span _ngcontent-aja-c20=3D"">Competen=
t</span></b></p><p _ngcontent-aja-c20=3D"" class=3D"rubric-result__descript=
ion"><span _ngcontent-aja-c20=3D"">The submission provides a copy of the fu=
lly prepared data set.</span></p></div></app-rubric-result></td></tr></tbod=
y></table></div></div></div><div _ngcontent-aja-c19=3D"" class=3D"rubric-gr=
id ng-star-inserted"><div _ngcontent-aja-c19=3D"" class=3D"form__item__labe=
l form__item--block__label ema-margin--top--5 ema-margin--bottom--5"><span =
_ngcontent-aja-c19=3D"">D1: Initial Model</span><!----><span _ngcontent-aja=
-c19=3D"" class=3D"ng-star-inserted">:</span><!----><!----><span _ngcontent=
-aja-c19=3D"" class=3D"ng-star-inserted"><span _ngcontent-aja-c19=3D""></sp=
an></span></div><div _ngcontent-aja-c19=3D"" class=3D"rubric-container ema-=
margin--bottom--5"><div _ngcontent-aja-c19=3D"" class=3D"rubric-container__=
inner"><table _ngcontent-aja-c19=3D"" class=3D"table table--block rubric-gr=
id__table" summary=3D"The Task Rubric Table"><tbody _ngcontent-aja-c19=3D""=
><tr _ngcontent-aja-c19=3D""><!----><td _ngcontent-aja-c19=3D"" class=3D"ru=
bric-grid__table__td ema-padding--left--0 ng-star-inserted" headers=3D"0rub=
ricTableHeaderIdNotEvident"><app-rubric-result _ngcontent-aja-c19=3D"" _ngh=
ost-aja-c20=3D""><div _ngcontent-aja-c20=3D"" class=3D"rubric-result"><!---=
-><!----><div _ngcontent-aja-c20=3D"" class=3D"rubric-result__vertical-stri=
p ng-star-inserted"></div><p _ngcontent-aja-c20=3D"" class=3D"rubric-result=
__title ema-margin--bottom--5"><b _ngcontent-aja-c20=3D""><span _ngcontent-=
aja-c20=3D"">Not Evident</span></b></p><p _ngcontent-aja-c20=3D"" class=3D"=
rubric-result__description"><span _ngcontent-aja-c20=3D"">The submission do=
es not provide an initial multiple regression model.</span></p></div></app-=
rubric-result></td><td _ngcontent-aja-c19=3D"" class=3D"rubric-grid__table_=
_td ema-padding--left--0 ng-star-inserted" headers=3D"1rubricTableHeaderIdA=
pproachingCompetence"><app-rubric-result _ngcontent-aja-c19=3D"" _nghost-aj=
a-c20=3D""><div _ngcontent-aja-c20=3D"" class=3D"rubric-result"><!----><!--=
--><div _ngcontent-aja-c20=3D"" class=3D"rubric-result__vertical-strip rubr=
ic-result__vertical-strip--yellow ng-star-inserted"></div><p _ngcontent-aja=
-c20=3D"" class=3D"rubric-result__title ema-margin--bottom--5"><b _ngconten=
t-aja-c20=3D""><span _ngcontent-aja-c20=3D"">Approaching Competence</span><=
/b></p><p _ngcontent-aja-c20=3D"" class=3D"rubric-result__description"><spa=
n _ngcontent-aja-c20=3D"">The submission provides an initial multiple regre=
ssion model from <i>some</i>, but not <i>all</i>, predictors identified in =
Part C2, or the model contains inaccuracies. </span></p></div></app-rubric-=
result></td><td _ngcontent-aja-c19=3D"" class=3D"rubric-grid__table__td ema=
-padding--left--0 ng-star-inserted" headers=3D"2rubricTableHeaderIdCompeten=
t"><app-rubric-result _ngcontent-aja-c19=3D"" _nghost-aja-c20=3D""><div _ng=
content-aja-c20=3D"" class=3D"rubric-result"><!----><!----><div _ngcontent-=
aja-c20=3D"" class=3D"rubric-result__vertical-strip rubric-result__vertical=
-strip--green ng-star-inserted"></div><p _ngcontent-aja-c20=3D"" class=3D"r=
ubric-result__title ema-margin--bottom--5"><b _ngcontent-aja-c20=3D""><span=
_ngcontent-aja-c20=3D"">Competent</span></b></p><p _ngcontent-aja-c20=3D""=
class=3D"rubric-result__description"><span _ngcontent-aja-c20=3D"">The sub=
mission provides an accurate initial multiple regression model from <i>all<=
/i> predictors identified in Part C2. </span></p></div></app-rubric-result>=
</td></tr></tbody></table></div></div></div><div _ngcontent-aja-c19=3D"" cl=
ass=3D"rubric-grid ng-star-inserted"><div _ngcontent-aja-c19=3D"" class=3D"=
form__item__label form__item--block__label ema-margin--top--5 ema-margin--b=
ottom--5"><span _ngcontent-aja-c19=3D"">D2: Justification of Model Reductio=
n</span><!----><span _ngcontent-aja-c19=3D"" class=3D"ng-star-inserted">:</=
span><!----><!----><span _ngcontent-aja-c19=3D"" class=3D"ng-star-inserted"=
><span _ngcontent-aja-c19=3D""></span></span></div><div _ngcontent-aja-c19=
=3D"" class=3D"rubric-container ema-margin--bottom--5"><div _ngcontent-aja-=
c19=3D"" class=3D"rubric-container__inner"><table _ngcontent-aja-c19=3D"" c=
lass=3D"table table--block rubric-grid__table" summary=3D"The Task Rubric T=
able"><tbody _ngcontent-aja-c19=3D""><tr _ngcontent-aja-c19=3D""><!----><td=
_ngcontent-aja-c19=3D"" class=3D"rubric-grid__table__td ema-padding--left-=
-0 ng-star-inserted" headers=3D"0rubricTableHeaderIdNotEvident"><app-rubric=
-result _ngcontent-aja-c19=3D"" _nghost-aja-c20=3D""><div _ngcontent-aja-c2=
0=3D"" class=3D"rubric-result"><!----><!----><div _ngcontent-aja-c20=3D"" c=
lass=3D"rubric-result__vertical-strip ng-star-inserted"></div><p _ngcontent=
-aja-c20=3D"" class=3D"rubric-result__title ema-margin--bottom--5"><b _ngco=
ntent-aja-c20=3D""><span _ngcontent-aja-c20=3D"">Not Evident</span></b></p>=
<p _ngcontent-aja-c20=3D"" class=3D"rubric-result__description"><span _ngco=
ntent-aja-c20=3D"">The submission justifies neither a variable selection pr=
ocedure nor a model evaluation metric to reduce the initial model. </span><=
/p></div></app-rubric-result></td><td _ngcontent-aja-c19=3D"" class=3D"rubr=
ic-grid__table__td ema-padding--left--0 ng-star-inserted" headers=3D"1rubri=
cTableHeaderIdApproachingCompetence"><app-rubric-result _ngcontent-aja-c19=
=3D"" _nghost-aja-c20=3D""><div _ngcontent-aja-c20=3D"" class=3D"rubric-res=
ult"><!----><!----><div _ngcontent-aja-c20=3D"" class=3D"rubric-result__ver=
tical-strip rubric-result__vertical-strip--yellow ng-star-inserted"></div><=
p _ngcontent-aja-c20=3D"" class=3D"rubric-result__title ema-margin--bottom-=
-5"><b _ngcontent-aja-c20=3D""><span _ngcontent-aja-c20=3D"">Approaching Co=
mpetence</span></b></p><p _ngcontent-aja-c20=3D"" class=3D"rubric-result__d=
escription"><span _ngcontent-aja-c20=3D"">The submission justifies a variab=
le selection procedure or a model evaluation metric to reduce the initial m=
odel but does not justify <i>both</i>, or the justification is not in align=
ment with the research question, or the variable selection procedure is not=
statistically based.</span></p></div></app-rubric-result></td><td _ngconte=
nt-aja-c19=3D"" class=3D"rubric-grid__table__td ema-padding--left--0 ng-sta=
r-inserted" headers=3D"2rubricTableHeaderIdCompetent"><app-rubric-result _n=
gcontent-aja-c19=3D"" _nghost-aja-c20=3D""><div _ngcontent-aja-c20=3D"" cla=
ss=3D"rubric-result"><!----><!----><div _ngcontent-aja-c20=3D"" class=3D"ru=
bric-result__vertical-strip rubric-result__vertical-strip--green ng-star-in=
serted"></div><p _ngcontent-aja-c20=3D"" class=3D"rubric-result__title ema-=
margin--bottom--5"><b _ngcontent-aja-c20=3D""><span _ngcontent-aja-c20=3D""=
>Competent</span></b></p><p _ngcontent-aja-c20=3D"" class=3D"rubric-result_=
_description"><span _ngcontent-aja-c20=3D"">The submission justifies a stat=
istically based variable selection procedure and a model evaluation metric =
to reduce the initial model. The justification is in alignment with the res=
earch question.</span></p></div></app-rubric-result></td></tr></tbody></tab=
le></div></div></div><div _ngcontent-aja-c19=3D"" class=3D"rubric-grid ng-s=
tar-inserted"><div _ngcontent-aja-c19=3D"" class=3D"form__item__label form_=
_item--block__label ema-margin--top--5 ema-margin--bottom--5"><span _ngcont=
ent-aja-c19=3D"">D3: Reduced Multiple Regression Model</span><!----><span _=
ngcontent-aja-c19=3D"" class=3D"ng-star-inserted">:</span><!----><!----><sp=
an _ngcontent-aja-c19=3D"" class=3D"ng-star-inserted"><span _ngcontent-aja-=
c19=3D""></span></span></div><div _ngcontent-aja-c19=3D"" class=3D"rubric-c=
ontainer ema-margin--bottom--5"><div _ngcontent-aja-c19=3D"" class=3D"rubri=
c-container__inner"><table _ngcontent-aja-c19=3D"" class=3D"table table--bl=
ock rubric-grid__table" summary=3D"The Task Rubric Table"><tbody _ngcontent=
-aja-c19=3D""><tr _ngcontent-aja-c19=3D""><!----><td _ngcontent-aja-c19=3D"=
" class=3D"rubric-grid__table__td ema-padding--left--0 ng-star-inserted" he=
aders=3D"0rubricTableHeaderIdNotEvident"><app-rubric-result _ngcontent-aja-=
c19=3D"" _nghost-aja-c20=3D""><div _ngcontent-aja-c20=3D"" class=3D"rubric-=
result"><!----><!----><div _ngcontent-aja-c20=3D"" class=3D"rubric-result__=
vertical-strip ng-star-inserted"></div><p _ngcontent-aja-c20=3D"" class=3D"=
rubric-result__title ema-margin--bottom--5"><b _ngcontent-aja-c20=3D""><spa=
n _ngcontent-aja-c20=3D"">Not Evident</span></b></p><p _ngcontent-aja-c20=
=3D"" class=3D"rubric-result__description"><span _ngcontent-aja-c20=3D"">Th=
e submission does not provide a reduced multiple regression model.</span></=
p></div></app-rubric-result></td><td _ngcontent-aja-c19=3D"" class=3D"rubri=
c-grid__table__td ema-padding--left--0 ng-star-inserted" headers=3D"1rubric=
TableHeaderIdApproachingCompetence"><app-rubric-result _ngcontent-aja-c19=
=3D"" _nghost-aja-c20=3D""><div _ngcontent-aja-c20=3D"" class=3D"rubric-res=
ult"><!----><!----><div _ngcontent-aja-c20=3D"" class=3D"rubric-result__ver=
tical-strip rubric-result__vertical-strip--yellow ng-star-inserted"></div><=
p _ngcontent-aja-c20=3D"" class=3D"rubric-result__title ema-margin--bottom-=
-5"><b _ngcontent-aja-c20=3D""><span _ngcontent-aja-c20=3D"">Approaching Co=
mpetence</span></b></p><p _ngcontent-aja-c20=3D"" class=3D"rubric-result__d=
escription"><span _ngcontent-aja-c20=3D"">The submission provides a reduced=
multiple regression model, but the model does not include <i>both</i> cate=
gorical and continuous variables, or the reduced model is not in alignment =
with the justification from part D2.</span></p></div></app-rubric-result></=
td><td _ngcontent-aja-c19=3D"" class=3D"rubric-grid__table__td ema-padding-=
-left--0 ng-star-inserted" headers=3D"2rubricTableHeaderIdCompetent"><app-r=
ubric-result _ngcontent-aja-c19=3D"" _nghost-aja-c20=3D""><div _ngcontent-a=
ja-c20=3D"" class=3D"rubric-result"><!----><!----><div _ngcontent-aja-c20=
=3D"" class=3D"rubric-result__vertical-strip rubric-result__vertical-strip-=
-green ng-star-inserted"></div><p _ngcontent-aja-c20=3D"" class=3D"rubric-r=
esult__title ema-margin--bottom--5"><b _ngcontent-aja-c20=3D""><span _ngcon=
tent-aja-c20=3D"">Competent</span></b></p><p _ngcontent-aja-c20=3D"" class=
=3D"rubric-result__description"><span _ngcontent-aja-c20=3D"">The submissio=
n provides a reduced multiple regression model that includes <i>both</i> ca=
tegorical and continuous variables, and the reduced model is in alignment w=
ith the justification from part D2.</span></p></div></app-rubric-result></t=
d></tr></tbody></table></div></div></div><div _ngcontent-aja-c19=3D"" class=
=3D"rubric-grid ng-star-inserted"><div _ngcontent-aja-c19=3D"" class=3D"for=
m__item__label form__item--block__label ema-margin--top--5 ema-margin--bott=
om--5"><span _ngcontent-aja-c19=3D"">E1: Model Comparison</span><!----><spa=
n _ngcontent-aja-c19=3D"" class=3D"ng-star-inserted">:</span><!----><!---->=
<span _ngcontent-aja-c19=3D"" class=3D"ng-star-inserted"><span _ngcontent-a=
ja-c19=3D""></span></span></div><div _ngcontent-aja-c19=3D"" class=3D"rubri=
c-container ema-margin--bottom--5"><div _ngcontent-aja-c19=3D"" class=3D"ru=
bric-container__inner"><table _ngcontent-aja-c19=3D"" class=3D"table table-=
-block rubric-grid__table" summary=3D"The Task Rubric Table"><tbody _ngcont=
ent-aja-c19=3D""><tr _ngcontent-aja-c19=3D""><!----><td _ngcontent-aja-c19=
=3D"" class=3D"rubric-grid__table__td ema-padding--left--0 ng-star-inserted=
" headers=3D"0rubricTableHeaderIdNotEvident"><app-rubric-result _ngcontent-=
aja-c19=3D"" _nghost-aja-c20=3D""><div _ngcontent-aja-c20=3D"" class=3D"rub=
ric-result"><!----><!----><div _ngcontent-aja-c20=3D"" class=3D"rubric-resu=
lt__vertical-strip ng-star-inserted"></div><p _ngcontent-aja-c20=3D"" class=
=3D"rubric-result__title ema-margin--bottom--5"><b _ngcontent-aja-c20=3D"">=
<span _ngcontent-aja-c20=3D"">Not Evident</span></b></p><p _ngcontent-aja-c=
20=3D"" class=3D"rubric-result__description"><span _ngcontent-aja-c20=3D"">=
The submission does not explain the data analysis process by comparing the =
initial and reduced multiple regression models.</span></p></div></app-rubri=
c-result></td><td _ngcontent-aja-c19=3D"" class=3D"rubric-grid__table__td e=
ma-padding--left--0 ng-star-inserted" headers=3D"1rubricTableHeaderIdApproa=
chingCompetence"><app-rubric-result _ngcontent-aja-c19=3D"" _nghost-aja-c20=
=3D""><div _ngcontent-aja-c20=3D"" class=3D"rubric-result"><!----><!----><d=
iv _ngcontent-aja-c20=3D"" class=3D"rubric-result__vertical-strip rubric-re=
sult__vertical-strip--yellow ng-star-inserted"></div><p _ngcontent-aja-c20=
=3D"" class=3D"rubric-result__title ema-margin--bottom--5"><b _ngcontent-aj=
a-c20=3D""><span _ngcontent-aja-c20=3D"">Approaching Competence</span></b><=
/p><p _ngcontent-aja-c20=3D"" class=3D"rubric-result__description"><span _n=
gcontent-aja-c20=3D"">The submission explains the data analysis process by =
comparing the initial and reduced multiple regression models but does not i=
nclude <i>all </i>of the given elements, or the explanation contains inaccu=
racies.</span></p></div></app-rubric-result></td><td _ngcontent-aja-c19=3D"=
" class=3D"rubric-grid__table__td ema-padding--left--0 ng-star-inserted" he=
aders=3D"2rubricTableHeaderIdCompetent"><app-rubric-result _ngcontent-aja-c=
19=3D"" _nghost-aja-c20=3D""><div _ngcontent-aja-c20=3D"" class=3D"rubric-r=
esult"><!----><!----><div _ngcontent-aja-c20=3D"" class=3D"rubric-result__v=
ertical-strip rubric-result__vertical-strip--green ng-star-inserted"></div>=
<p _ngcontent-aja-c20=3D"" class=3D"rubric-result__title ema-margin--bottom=
--5"><b _ngcontent-aja-c20=3D""><span _ngcontent-aja-c20=3D"">Competent</sp=
an></b></p><p _ngcontent-aja-c20=3D"" class=3D"rubric-result__description">=
<span _ngcontent-aja-c20=3D"">The submission accurately explains the data a=
nalysis process by comparing the initial and reduced multiple regression mo=
dels, including <i>all</i> of the given elements. </span></p></div></app-ru=
bric-result></td></tr></tbody></table></div></div></div><div _ngcontent-aja=
-c19=3D"" class=3D"rubric-grid ng-star-inserted"><div _ngcontent-aja-c19=3D=
"" class=3D"form__item__label form__item--block__label ema-margin--top--5 e=
ma-margin--bottom--5"><span _ngcontent-aja-c19=3D"">E2: Output and Calculat=
ions</span><!----><span _ngcontent-aja-c19=3D"" class=3D"ng-star-inserted">=
:</span><!----><!----><span _ngcontent-aja-c19=3D"" class=3D"ng-star-insert=
ed"><span _ngcontent-aja-c19=3D""></span></span></div><div _ngcontent-aja-c=
19=3D"" class=3D"rubric-container ema-margin--bottom--5"><div _ngcontent-aj=
a-c19=3D"" class=3D"rubric-container__inner"><table _ngcontent-aja-c19=3D""=
class=3D"table table--block rubric-grid__table" summary=3D"The Task Rubric=
Table"><tbody _ngcontent-aja-c19=3D""><tr _ngcontent-aja-c19=3D""><!----><=
td _ngcontent-aja-c19=3D"" class=3D"rubric-grid__table__td ema-padding--lef=
t--0 ng-star-inserted" headers=3D"0rubricTableHeaderIdNotEvident"><app-rubr=
ic-result _ngcontent-aja-c19=3D"" _nghost-aja-c20=3D""><div _ngcontent-aja-=
c20=3D"" class=3D"rubric-result"><!----><!----><div _ngcontent-aja-c20=3D""=
class=3D"rubric-result__vertical-strip ng-star-inserted"></div><p _ngconte=
nt-aja-c20=3D"" class=3D"rubric-result__title ema-margin--bottom--5"><b _ng=