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spring-haru committed Jan 3, 2025
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2 changes: 1 addition & 1 deletion 11a_Okun_Phillips.html
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Expand Up @@ -707,7 +707,7 @@ <h3>回帰分析<a class="headerlink" href="#id6" title="Link to this heading">#
Model: OLS Adj. R-squared: 0.387
Method: Least Squares F-statistic: 111.5
Date: Fri, 03 Jan 2025 Prob (F-statistic): 1.84e-20
Time: 01:09:27 Log-Likelihood: -275.03
Time: 01:29:46 Log-Likelihood: -275.03
No. Observations: 176 AIC: 554.1
Df Residuals: 174 BIC: 560.4
Df Model: 1
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78 changes: 39 additions & 39 deletions 11b_Money_Inflation.html
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Expand Up @@ -623,122 +623,122 @@ <h3><code class="docutils literal notranslate"><span class="pre">resample()</spa
<tr>
<th>2019-01-01</th>
<td>10</td>
<td>7.068212</td>
<td>5.277740</td>
</tr>
<tr>
<th>2019-02-01</th>
<td>20</td>
<td>5.507801</td>
<td>5.179652</td>
</tr>
<tr>
<th>2019-03-01</th>
<td>30</td>
<td>4.659180</td>
<td>6.903653</td>
</tr>
<tr>
<th>2019-04-01</th>
<td>40</td>
<td>6.750383</td>
<td>5.135640</td>
</tr>
<tr>
<th>2019-05-01</th>
<td>50</td>
<td>5.770613</td>
<td>5.288257</td>
</tr>
<tr>
<th>2019-06-01</th>
<td>60</td>
<td>5.057649</td>
<td>5.916110</td>
</tr>
<tr>
<th>2019-07-01</th>
<td>70</td>
<td>5.291954</td>
<td>3.649450</td>
</tr>
<tr>
<th>2019-08-01</th>
<td>80</td>
<td>5.090206</td>
<td>5.648054</td>
</tr>
<tr>
<th>2019-09-01</th>
<td>90</td>
<td>5.229165</td>
<td>5.053249</td>
</tr>
<tr>
<th>2019-10-01</th>
<td>100</td>
<td>4.371847</td>
<td>3.050738</td>
</tr>
<tr>
<th>2019-11-01</th>
<td>110</td>
<td>5.835155</td>
<td>5.287720</td>
</tr>
<tr>
<th>2019-12-01</th>
<td>120</td>
<td>6.839144</td>
<td>4.231305</td>
</tr>
<tr>
<th>2020-01-01</th>
<td>10</td>
<td>3.745913</td>
<td>4.562625</td>
</tr>
<tr>
<th>2020-02-01</th>
<td>20</td>
<td>4.395061</td>
<td>5.890086</td>
</tr>
<tr>
<th>2020-03-01</th>
<td>30</td>
<td>6.024376</td>
<td>3.438143</td>
</tr>
<tr>
<th>2020-04-01</th>
<td>40</td>
<td>6.345998</td>
<td>4.802732</td>
</tr>
<tr>
<th>2020-05-01</th>
<td>50</td>
<td>3.855593</td>
<td>4.888795</td>
</tr>
<tr>
<th>2020-06-01</th>
<td>60</td>
<td>3.339227</td>
<td>4.790555</td>
</tr>
<tr>
<th>2020-07-01</th>
<td>70</td>
<td>5.439351</td>
<td>4.667200</td>
</tr>
<tr>
<th>2020-08-01</th>
<td>80</td>
<td>5.569649</td>
<td>5.209155</td>
</tr>
<tr>
<th>2020-09-01</th>
<td>90</td>
<td>6.225637</td>
<td>5.379132</td>
</tr>
<tr>
<th>2020-10-01</th>
<td>100</td>
<td>5.086193</td>
<td>5.970429</td>
</tr>
<tr>
<th>2020-11-01</th>
<td>110</td>
<td>3.244917</td>
<td>4.291284</td>
</tr>
<tr>
<th>2020-12-01</th>
<td>120</td>
<td>4.087981</td>
<td>5.559605</td>
</tr>
</tbody>
</table>
Expand Down Expand Up @@ -766,7 +766,7 @@ <h3><code class="docutils literal notranslate"><span class="pre">resample()</spa
</div>
</div>
<div class="cell_output docutils container">
<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&lt;pandas.core.resample.DatetimeIndexResampler object at 0x107bf6b40&gt;
<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&lt;pandas.core.resample.DatetimeIndexResampler object at 0x10f1fe6f0&gt;
</pre></div>
</div>
</div>
Expand Down Expand Up @@ -807,42 +807,42 @@ <h3><code class="docutils literal notranslate"><span class="pre">resample()</spa
<tr>
<th>2019-01-01</th>
<td>20.0</td>
<td>5.745064</td>
<td>5.787015</td>
</tr>
<tr>
<th>2019-04-01</th>
<td>50.0</td>
<td>5.859548</td>
<td>5.446669</td>
</tr>
<tr>
<th>2019-07-01</th>
<td>80.0</td>
<td>5.203775</td>
<td>4.783584</td>
</tr>
<tr>
<th>2019-10-01</th>
<td>110.0</td>
<td>5.682049</td>
<td>4.189921</td>
</tr>
<tr>
<th>2020-01-01</th>
<td>20.0</td>
<td>4.721784</td>
<td>4.630285</td>
</tr>
<tr>
<th>2020-04-01</th>
<td>50.0</td>
<td>4.513606</td>
<td>4.827361</td>
</tr>
<tr>
<th>2020-07-01</th>
<td>80.0</td>
<td>5.744879</td>
<td>5.085162</td>
</tr>
<tr>
<th>2020-10-01</th>
<td>110.0</td>
<td>4.139697</td>
<td>5.273773</td>
</tr>
</tbody>
</table>
Expand Down Expand Up @@ -883,12 +883,12 @@ <h3><code class="docutils literal notranslate"><span class="pre">resample()</spa
<tr>
<th>2019-01-01</th>
<td>65.0</td>
<td>5.622609</td>
<td>5.051797</td>
</tr>
<tr>
<th>2020-01-01</th>
<td>65.0</td>
<td>4.779991</td>
<td>4.954145</td>
</tr>
</tbody>
</table>
Expand Down Expand Up @@ -973,12 +973,12 @@ <h3><code class="docutils literal notranslate"><span class="pre">resample()</spa
<tr>
<th>2019-01-01</th>
<td>0.5547</td>
<td>0.154317</td>
<td>0.201180</td>
</tr>
<tr>
<th>2020-01-01</th>
<td>0.5547</td>
<td>0.237913</td>
<td>0.143355</td>
</tr>
</tbody>
</table>
Expand Down Expand Up @@ -1638,7 +1638,7 @@ <h3>変化率の計算<a class="headerlink" href="#id9" title="Link to this head
</div>
</div>
<div class="cell_output docutils container">
<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&lt;pandas.core.groupby.generic.DataFrameGroupBy object at 0x1136ebfe0&gt;
<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&lt;pandas.core.groupby.generic.DataFrameGroupBy object at 0x1181ab740&gt;
</pre></div>
</div>
</div>
Expand All @@ -1653,7 +1653,7 @@ <h3>変化率の計算<a class="headerlink" href="#id9" title="Link to this head
</div>
</div>
<div class="cell_output docutils container">
<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&lt;pandas.core.groupby.generic.SeriesGroupBy object at 0x113cbbd70&gt;
<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&lt;pandas.core.groupby.generic.SeriesGroupBy object at 0x1181cd280&gt;
</pre></div>
</div>
</div>
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