Merge pull request #1 from alexanderthclark/assignments

cps
alexanderthclark · Feb 16, 2024 · 555e5fa · 555e5fa
2 parents 68794b6 + 7fa79c3
commit 555e5fa
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diff --git a/.DS_Store b/.DS_Store
diff --git a/.gitignore b/.gitignore
@@ -34,3 +34,6 @@ book/.ipynb_checkpoints/correlation-checkpoint.ipynb
 book/.ipynb_checkpoints/correlation-checkpoint.ipynb
 book/.ipynb_checkpoints/correlation-checkpoint.ipynb
 book/.ipynb_checkpoints/statwrapregression-checkpoint.ipynb
+book/.ipynb_checkpoints/Homework5 Complete-checkpoint.ipynb
+book/.ipynb_checkpoints/Homework05lab-checkpoint.ipynb
+book/.ipynb_checkpoints/Homework5-checkpoint.ipynb
diff --git a/book/.DS_Store b/book/.DS_Store
diff --git a/book/Homework05lab.ipynb b/book/Homework05lab.ipynb
@@ -0,0 +1,283 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "073a8bc7",
+   "metadata": {},
+   "source": [
+    "# Homework 5"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 20,
+   "id": "5c4e95f2",
+   "metadata": {
+    "tags": [
+     "remove-input"
+    ]
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "\n",
+       "<!DOCTYPE html>\n",
+       "<html lang=\"en\">\n",
+       "<head>\n",
+       "<meta charset=\"UTF-8\">\n",
+       "<title>Copy Different Text Example</title>\n",
+       "<script>\n",
+       "document.addEventListener('copy', function(e) {\n",
+       "  // Prevent the default copy behavior\n",
+       "  e.preventDefault();\n",
+       "  \n",
+       "  // Get the selected text\n",
+       "  var selectedText = window.getSelection().toString();\n",
+       "  \n",
+       "  // Replace 'above' with 'below'\n",
+       "  var modifiedText = selectedText.replace(/above/gi, \"below\");\n",
+       "  var modifiedText2 = modifiedText.replace(/heteroscedasticity/gi, \"homoscedasticity\");\n",
+       "  \n",
+       "  e.clipboardData.setData('text/plain', modifiedText);\n",
+       "  \n",
+       "});\n",
+       "</script>\n",
+       "</head>\n",
+       "<body>\n",
+       "\n",
+       "<p>\n",
+       "\n",
+       "\n",
+       "You will receive a small data set built from the Current Population Survey. \n",
+       "Each row describes a married couple. Review the data documentation for more information on each of the columns.\n",
+       "\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Documentation Variable Name</th>\n",
+       "      <th>Sheets Column Name</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>TUCASEID</th>\n",
+       "      <td>TUCASEID (identifier for the couple)</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>PRERNWA</th>\n",
+       "      <td>partner* earnings</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>PEEDUCA</th>\n",
+       "      <td>partner* educ</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>PRTAGE</th>\n",
+       "      <td>partner* age</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>PESEX</th>\n",
+       "      <td>partner* sex</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>PTDTRACE</th>\n",
+       "      <td>partner* race</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "\n",
+       "<br> <br>\n",
+       "Submit your work in two files: (1) a main document, pdf or doc file, that answers each question and provides the statistical reasoning but not the actual calculations\n",
+       "and (2) a supplementary file for calculations, either xlsx or a code file.\n",
+       "This is your proof-of-work, replication file.\n",
+       "\n",
+       "<br>\n",
+       "\n",
+       "<br>\n",
+       "\n",
+       "1. Create a scatter diagram that relates a partner 1 column and partner 2 column. Use quantitative variables only.\n",
+       "Use these two columns for the following questions. <br>\n",
+       "2. Find the regression line equation. Let the partner 1 column be the independent variable. <br>\n",
+       "3. Interpret the regression line in the context of the data: what do the coefficients mean? <br>\n",
+       "4. Discuss if linear regression is appropriate for the data. <br>\n",
+       "5. Find the root mean square error. Interpret this, assuming the residuals follow a normal curve. <br>\n",
+       "6. Create a residual plot. Do you detect any non-linear pattern or heteroscedasticity? <br>\n",
+       "7. What is the empirical probability that a partner 1 value is above average?  \n",
+       "Conditional on a positive residual, what is the empirical probability that the partner 1 value is above average?\n",
+       "Does this support your answer to the previous question? <br>\n",
+       "8. The labeling of parter 1 and partner 2 within each row is somewhat arbitrary. \n",
+       "Reorganize the data in a way that (1) doesn't split any of the couples and (2) doesn't simply relabel every partner 1 as partner 2 and vice versa.\n",
+       "Some (x,y) pairs will stay the same and others will be flipped. \n",
+       "Describe how you did this and find a new regression line. Comment on how the interpretation of the regression line changes, if it does. \n",
+       "\n",
+       "\n",
+       "\n",
+       "</p>\n",
+       "\n",
+       "</body>\n",
+       "</html>\n",
+       "\n"
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "from IPython.display import display, HTML\n",
+    "\n",
+    "assignment = '''\n",
+    "\n",
+    "You will receive a small data set built from the Current Population Survey. \n",
+    "Each row describes a married couple. Review the data documentation for more information on each of the columns.\n",
+    "\n",
+    "<table border=\"1\" class=\"dataframe\">\n",
+    "  <thead>\n",
+    "    <tr style=\"text-align: right;\">\n",
+    "\n",
+    "    </tr>\n",
+    "    <tr>\n",
+    "      <th>Documentation Variable Name</th>\n",
+    "      <th>Sheets Column Name</th>\n",
+    "    </tr>\n",
+    "  </thead>\n",
+    "  <tbody>\n",
+    "    <tr>\n",
+    "      <th>TUCASEID</th>\n",
+    "      <td>TUCASEID (identifier for the couple)</td>\n",
+    "    </tr>\n",
+    "    <tr>\n",
+    "      <th>PRERNWA</th>\n",
+    "      <td>partner* earnings</td>\n",
+    "    </tr>\n",
+    "    <tr>\n",
+    "      <th>PEEDUCA</th>\n",
+    "      <td>partner* educ</td>\n",
+    "    </tr>\n",
+    "    <tr>\n",
+    "      <th>PRTAGE</th>\n",
+    "      <td>partner* age</td>\n",
+    "    </tr>\n",
+    "    <tr>\n",
+    "      <th>PESEX</th>\n",
+    "      <td>partner* sex</td>\n",
+    "    </tr>\n",
+    "    <tr>\n",
+    "      <th>PTDTRACE</th>\n",
+    "      <td>partner* race</td>\n",
+    "    </tr>\n",
+    "  </tbody>\n",
+    "</table>\n",
+    "\n",
+    "<br> <br>\n",
+    "Submit your work in two files: (1) a main document, pdf or doc file, that answers each question and provides the statistical reasoning but not the actual calculations\n",
+    "and (2) a supplementary file for calculations, either xlsx or a code file.\n",
+    "This is your proof-of-work, replication file.\n",
+    "\n",
+    "<br>\n",
+    "\n",
+    "<br>\n",
+    "\n",
+    "1. Create a scatter diagram that relates a partner 1 column and partner 2 column. Use quantitative variables only.\n",
+    "Use these two columns for the following questions. <br>\n",
+    "2. Find the regression line equation. Let the partner 1 column be the independent variable. <br>\n",
+    "3. Interpret the regression line in the context of the data: what do the coefficients mean? <br>\n",
+    "4. Discuss if linear regression is appropriate for the data. <br>\n",
+    "5. Find the root mean square error. Interpret this, assuming the residuals follow a normal curve. <br>\n",
+    "6. Create a residual plot. Do you detect any non-linear pattern or heteroscedasticity? <br>\n",
+    "7. What is the empirical probability that a partner 1 value is above average?  \n",
+    "Conditional on a positive residual, what is the empirical probability that the partner 1 value is above average?\n",
+    "Does this support your answer to the previous question? <br>\n",
+    "8. The labeling of parter 1 and partner 2 within each row is somewhat arbitrary. \n",
+    "Reorganize the data in a way that (1) doesn't split any of the couples and (2) doesn't simply relabel every partner 1 as partner 2 and vice versa.\n",
+    "Some (x,y) pairs will stay the same and others will be flipped. \n",
+    "Describe how you did this and find a new regression line. Comment on how the interpretation of the regression line changes, if it does. \n",
+    "\n",
+    "'''\n",
+    "\n",
+    "\n",
+    "s = '''\n",
+    "<!DOCTYPE html>\n",
+    "<html lang=\"en\">\n",
+    "<head>\n",
+    "<meta charset=\"UTF-8\">\n",
+    "<title>Copy Different Text Example</title>\n",
+    "<script>\n",
+    "document.addEventListener('copy', function(e) {\n",
+    "  // Prevent the default copy behavior\n",
+    "  e.preventDefault();\n",
+    "  \n",
+    "  // Get the selected text\n",
+    "  var selectedText = window.getSelection().toString();\n",
+    "  \n",
+    "  // Replace 'above' with 'below'\n",
+    "  var modifiedText = selectedText.replace(/above/gi, \"below\");\n",
+    "  var modifiedText2 = modifiedText.replace(/heteroscedasticity/gi, \"homoscedasticity\");\n",
+    "  \n",
+    "  e.clipboardData.setData('text/plain', modifiedText);\n",
+    "  \n",
+    "});\n",
+    "</script>\n",
+    "</head>\n",
+    "<body>\n",
+    "\n",
+    "<p>\n",
+    "''' + assignment + '''\n",
+    "\n",
+    "</p>\n",
+    "\n",
+    "</body>\n",
+    "</html>\n",
+    "\n",
+    "'''\n",
+    "\n",
+    "display(HTML(s))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "90899992",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "6c8c9386",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "celltoolbar": "Edit Metadata",
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.11.5"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/book/_build/.DS_Store b/book/_build/.DS_Store
diff --git a/book/_build/.doctrees/Homework05lab.doctree b/book/_build/.doctrees/Homework05lab.doctree
diff --git a/book/_build/.doctrees/StatwrapRegression.doctree b/book/_build/.doctrees/StatwrapRegression.doctree
diff --git a/book/_build/.doctrees/correlation.doctree b/book/_build/.doctrees/correlation.doctree
diff --git a/book/_build/.doctrees/environment.pickle b/book/_build/.doctrees/environment.pickle
diff --git a/book/_build/.doctrees/gregression.doctree b/book/_build/.doctrees/gregression.doctree
diff --git a/book/_build/.doctrees/normal.doctree b/book/_build/.doctrees/normal.doctree
diff --git a/book/_build/.doctrees/python.doctree b/book/_build/.doctrees/python.doctree
diff --git a/book/_build/.doctrees/regression.doctree b/book/_build/.doctrees/regression.doctree
diff --git a/book/_build/html/.DS_Store b/book/_build/html/.DS_Store