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Py4Etrics · Jul 21, 2024 · f0e265e · f0e265e
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diff --git a/10_Residuals.html b/10_Residuals.html
diff --git a/11_Inference.html b/11_Inference.html
@@ -480,9 +480,9 @@ <h1>推論<a class="headerlink" href="#id1" title="Link to this heading">#</a></
 <div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">matplotlib.pyplot</span> <span class="k">as</span> <span class="nn">plt</span>
 <span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
 <span class="kn">import</span> <span class="nn">pandas</span> <span class="k">as</span> <span class="nn">pd</span>
+<span class="kn">import</span> <span class="nn">statsmodels.formula.api</span> <span class="k">as</span> <span class="nn">smf</span>
 <span class="kn">import</span> <span class="nn">wooldridge</span>
 
-<span class="kn">from</span> <span class="nn">statsmodels.formula.api</span> <span class="kn">import</span> <span class="n">ols</span>
 <span class="kn">from</span> <span class="nn">scipy.stats</span> <span class="kn">import</span> <span class="n">t</span><span class="p">,</span> <span class="n">f</span>
 
 <span class="c1"># 警告メッセージを非表示</span>
@@ -833,7 +833,7 @@ <h3>回帰分析と<span class="math notranslate nohighlight">\(t\)</span>検定
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 <div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">formula_gpa</span> <span class="o">=</span> <span class="s1">&#39;colGPA ~ hsGPA + ACT + skipped&#39;</span>
-<span class="n">res_gpa</span> <span class="o">=</span> <span class="n">ols</span><span class="p">(</span><span class="n">formula_gpa</span><span class="p">,</span> <span class="n">data</span><span class="o">=</span><span class="n">gpa</span><span class="p">)</span><span class="o">.</span><span class="n">fit</span><span class="p">()</span>
+<span class="n">res_gpa</span> <span class="o">=</span> <span class="n">smf</span><span class="o">.</span><span class="n">ols</span><span class="p">(</span><span class="n">formula_gpa</span><span class="p">,</span> <span class="n">data</span><span class="o">=</span><span class="n">gpa</span><span class="p">)</span><span class="o">.</span><span class="n">fit</span><span class="p">()</span>
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@@ -1211,7 +1211,7 @@ <h3>回帰分析<a class="headerlink" href="#id10" title="Link to this heading">
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 <div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">formula_0</span> <span class="o">=</span> <span class="s1">&#39;np.log(salary) ~ years + gamesyr + bavg + hrunsyr + rbisyr&#39;</span>
-<span class="n">res_0</span> <span class="o">=</span> <span class="n">ols</span><span class="p">(</span><span class="n">formula_0</span><span class="p">,</span> <span class="n">data</span><span class="o">=</span><span class="n">mlb1</span><span class="p">)</span><span class="o">.</span><span class="n">fit</span><span class="p">()</span>
+<span class="n">res_0</span> <span class="o">=</span> <span class="n">smf</span><span class="o">.</span><span class="n">ols</span><span class="p">(</span><span class="n">formula_0</span><span class="p">,</span> <span class="n">data</span><span class="o">=</span><span class="n">mlb1</span><span class="p">)</span><span class="o">.</span><span class="n">fit</span><span class="p">()</span>
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@@ -1226,7 +1226,7 @@ <h4>例１<a class="headerlink" href="#id11" title="Link to this heading">#</a><
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 <div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">formula_1</span> <span class="o">=</span> <span class="s1">&#39;np.log(salary) ~ years + gamesyr&#39;</span>
-<span class="n">res_1</span> <span class="o">=</span> <span class="n">ols</span><span class="p">(</span><span class="n">formula_1</span><span class="p">,</span> <span class="n">data</span><span class="o">=</span><span class="n">mlb1</span><span class="p">)</span><span class="o">.</span><span class="n">fit</span><span class="p">()</span>
+<span class="n">res_1</span> <span class="o">=</span> <span class="n">smf</span><span class="o">.</span><span class="n">ols</span><span class="p">(</span><span class="n">formula_1</span><span class="p">,</span> <span class="n">data</span><span class="o">=</span><span class="n">mlb1</span><span class="p">)</span><span class="o">.</span><span class="n">fit</span><span class="p">()</span>
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@@ -1371,8 +1371,8 @@ <h4>例２<a class="headerlink" href="#id14" title="Link to this heading">#</a><
 Dep. Variable:         np.log(salary)   R-squared:                       0.628
 Model:                            OLS   Adj. R-squared:                  0.622
 Method:                 Least Squares   F-statistic:                     117.1
-Date:                Sat, 20 Jul 2024   Prob (F-statistic):           2.94e-72
-Time:                        04:39:41   Log-Likelihood:                -385.11
+Date:                Sun, 21 Jul 2024   Prob (F-statistic):           2.94e-72
+Time:                        05:16:44   Log-Likelihood:                -385.11
 No. Observations:                 353   AIC:                             782.2
 Df Residuals:                     347   BIC:                             805.4
 Df Model:                           5