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minireference · Jun 28, 2024 · 3a9ccf1 · 3a9ccf1
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diff --git a/_sources/notebooks/40_extra_cut_material.ipynb b/_sources/notebooks/40_extra_cut_material.ipynb
@@ -3082,10 +3082,34 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 1,
    "id": "e3eaae66-60bb-47b1-91e2-f7df2a68c0bc",
    "metadata": {},
    "outputs": [],
+   "source": [
+    "# workaround to avoid RuntimeWarning: invalid value encountered in divide\n",
+    "# nzwdocs = doctors[doctors[\"weed\"] != 0]\n",
+    "# zwdocs = doctors[doctors[\"weed\"] == 0]\n",
+    "# n_subsample = int(0.4*len(zwdocs))\n",
+    "# np.random.seed(42)\n",
+    "# zwdocs_subsample = zwdocs.sample(n_subsample)\n",
+    "# idxs = np.concatenate((nzwdocs.index, zwdocs_subsample.index))\n",
+    "# sns.regplot(x=doctors[\"weed\"][idxs], y=lm2.resid[idxs], lowess=True, scatter_kws={'s':8}, ax=axs[1])\n",
+    "# ALT.\n",
+    "# doctors_alt = doctors.loc[idxs]\n",
+    "# formula = \"score ~ 1 + alc + weed + exrc\"\n",
+    "# lm2_alt = smf.ols(formula, data=doctors_alt).fit()    \n",
+    "# plot_resid(lm2, \"weed\", lowess=True, ax=axs[1])\n",
+    "\n",
+    "# Fixes instead by increasing `frac` to 0.72 (higher than default 2/3)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "ce02af23-8330-4c63-b118-68aa07713204",
+   "metadata": {},
+   "outputs": [],
    "source": []
   }
  ],

diff --git a/_sources/notebooks/41_simple_linear_regression.ipynb b/_sources/notebooks/41_simple_linear_regression.ipynb
diff --git a/_sources/notebooks/43_interpreting_linear_models.ipynb b/_sources/notebooks/43_interpreting_linear_models.ipynb
diff --git a/_sources/notebooks/45_model_selection.ipynb b/_sources/notebooks/45_model_selection.ipynb
diff --git a/examples/ANOVA.html b/examples/ANOVA.html
@@ -708,7 +708,7 @@ <h2>Equivalence between ANOVA and OLS<a class="headerlink" href="#equivalence-be
   <th>Date:</th>             <td>Fri, 28 Jun 2024</td> <th>  Prob (F-statistic):</th> <td>1.11e-25</td>
 </tr>
 <tr>
-  <th>Time:</th>                 <td>17:10:35</td>     <th>  Log-Likelihood:    </th> <td> -139.86</td>
+  <th>Time:</th>                 <td>18:32:29</td>     <th>  Log-Likelihood:    </th> <td> -139.86</td>
 </tr>
 <tr>
   <th>No. Observations:</th>      <td>   100</td>      <th>  AIC:               </th> <td>   289.7</td>

diff --git a/examples/Mann-Whitney_U-test.html b/examples/Mann-Whitney_U-test.html
@@ -718,7 +718,7 @@ <h3>Example 1<a class="headerlink" href="#example-1" title="Permalink to this he
 <div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&lt;Axes: xlabel=&#39;group&#39;, ylabel=&#39;score&#39;&gt;
 </pre></div>
 </div>
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diff --git a/exercises/exercises_21_discrete_RVs.html b/exercises/exercises_21_discrete_RVs.html
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diff --git a/exercises/exercises_35_two_sample_tests.html b/exercises/exercises_35_two_sample_tests.html
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diff --git a/exercises/problems_1_data.html b/exercises/problems_1_data.html
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 <p>Even when we take into account of the possible variability
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diff --git a/notebooks/11_intro_to_data.html b/notebooks/11_intro_to_data.html
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diff --git a/notebooks/12_data_in_practice.html b/notebooks/12_data_in_practice.html
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 </div>
 </div>
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 <div class="cell docutils container">
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 <div class="cell_output docutils container">
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+<img alt="../_images/558e655326b451eb48303d39875fbd68d28f7c87c465f035d15df941be4a6fea.png" src="../_images/558e655326b451eb48303d39875fbd68d28f7c87c465f035d15df941be4a6fea.png" />
 </div>
 </div>
 <section id="average-volume-of-the-sample-from-batch-01">
@@ -2785,7 +2785,7 @@ <h3>Doctors’ sleep study<a class="headerlink" href="#doctors-sleep-study" titl
 </div>
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 </div>
 </div>
 <section id="average-sleep-scores-for-doctors-in-different-locations">
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-<img alt="../_images/167ce2ee410f9943a5c4ea076c209a2a334ac4120aa36b2e49ea6b85d58cec9c.png" src="../_images/167ce2ee410f9943a5c4ea076c209a2a334ac4120aa36b2e49ea6b85d58cec9c.png" />
+<img alt="../_images/8764852bfdbc44843961f7bbb6f8441f73bd5d015f658b8c9d1a844e269a32b7.png" src="../_images/8764852bfdbc44843961f7bbb6f8441f73bd5d015f658b8c9d1a844e269a32b7.png" />
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 <p>The black lines represent the estimates of the uncertainty of the true conversion rates