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diff --git a/v2/ModernDive.pdf b/v2/ModernDive.pdf
diff --git a/v2/ModernDive.tex b/v2/ModernDive.tex
@@ -1520,7 +1520,7 @@ \subsection{Additional resources}\label{additional-resources}
 
 }
 
-\caption{Preview of \emph{Getting Used to R, RStudio, and R Markdown}.}\label{fig:unnamed-chunk-30}
+\caption{Preview of \emph{Getting Used to R, RStudio, and R Markdown}.}\label{fig:unnamed-chunk-31}
 \end{figure}
 
 \subsection{What's to come?}\label{whats-to-come}
@@ -5748,7 +5748,7 @@ \subsection{Exploratory data analysis}\label{model2EDA}
 
 \begin{table}[H]
 \centering
-\caption{\label{tab:unnamed-chunk-197}Summary of life expectancy and continent variables}
+\caption{\label{tab:unnamed-chunk-198}Summary of life expectancy and continent variables}
 \centering
 \fontsize{9}{11}\selectfont
 \begin{tabular}[t]{lrllrrrrrrr}
@@ -6267,7 +6267,7 @@ \subsection{Correlation is not necessarily causation}\label{correlation-is-not-c
 \end{Highlighting}
 \end{Shaded}
 
-\begin{center}\includegraphics[width=\textwidth]{ModernDive_files/figure-latex/unnamed-chunk-212-1} \end{center}
+\begin{center}\includegraphics[width=\textwidth]{ModernDive_files/figure-latex/unnamed-chunk-213-1} \end{center}
 
 \begin{Shaded}
 \begin{Highlighting}[]
@@ -6278,7 +6278,7 @@ \subsection{Correlation is not necessarily causation}\label{correlation-is-not-c
 \end{Highlighting}
 \end{Shaded}
 
-\begin{center}\includegraphics[width=\textwidth]{ModernDive_files/figure-latex/unnamed-chunk-213-1} \end{center}
+\begin{center}\includegraphics[width=\textwidth]{ModernDive_files/figure-latex/unnamed-chunk-214-1} \end{center}
 
 \begin{Shaded}
 \begin{Highlighting}[]
@@ -7493,7 +7493,7 @@ \subsection{Exploratory data analysis}\label{model3EDA}
 
 \begin{table}[H]
 \centering
-\caption{\label{tab:unnamed-chunk-253}Summary of credit data}
+\caption{\label{tab:unnamed-chunk-254}Summary of credit data}
 \centering
 \fontsize{8}{10}\selectfont
 \begin{tabular}[t]{lrllrrrrrrr}
@@ -12853,7 +12853,7 @@ \subsection{Is metal music more popular than deep house music?}\label{is-metal-m
 
 \begin{table}[H]
 \centering
-\caption{\label{tab:unnamed-chunk-452}Sample of twelve songs from the Spotify data frame.}
+\caption{\label{tab:unnamed-chunk-453}Sample of twelve songs from the Spotify data frame.}
 \centering
 \fontsize{6}{8}\selectfont
 \begin{tabular}[t]{lllrl}
@@ -12938,7 +12938,7 @@ \subsection{Shuffling once}\label{shuffling-once}
 
 \begin{table}[H]
 \centering
-\caption{\label{tab:unnamed-chunk-458}Representative sample of metal and deep-house songs}
+\caption{\label{tab:unnamed-chunk-459}Representative sample of metal and deep-house songs}
 \centering
 \fontsize{6}{8}\selectfont
 \begin{tabular}[t]{lllrl}
@@ -12973,7 +12973,7 @@ \subsection{Shuffling once}\label{shuffling-once}
 
 \begin{table}[H]
 \centering
-\caption{\label{tab:unnamed-chunk-460}Shuffled version of \texttt{popular\_or\_not} in representative sample of metal and deep-house songs}
+\caption{\label{tab:unnamed-chunk-461}Shuffled version of \texttt{popular\_or\_not} in representative sample of metal and deep-house songs}
 \centering
 \fontsize{6}{8}\selectfont
 \begin{tabular}[t]{lllrl}
@@ -14779,7 +14779,7 @@ \subsubsection*{Two sample difference in means}\label{two-sample-difference-in-m
 
 \begin{table}[H]
 \centering
-\caption{\label{tab:unnamed-chunk-533}Regression table for two-sample difference in means example}
+\caption{\label{tab:unnamed-chunk-534}Regression table for two-sample difference in means example}
 \centering
 \fontsize{8}{10}\selectfont
 \begin{tabular}[t]{l|r|r|r|r|r|r}
@@ -14828,7 +14828,7 @@ \subsubsection*{ANOVA}\label{anova}
 
 \begin{table}[H]
 \centering
-\caption{\label{tab:unnamed-chunk-536}Five randomly selected rows from \texttt{spotify\_for\_anova}}
+\caption{\label{tab:unnamed-chunk-537}Five randomly selected rows from \texttt{spotify\_for\_anova}}
 \centering
 \fontsize{8}{10}\selectfont
 \begin{tabular}[t]{l|l|r|l}
@@ -14860,11 +14860,11 @@ \subsubsection*{ANOVA}\label{anova}
 
 \begin{figure}[H]
 
-{\centering \includegraphics[width=\textwidth]{ModernDive_files/figure-latex/unnamed-chunk-537-1} 
+{\centering \includegraphics[width=\textwidth]{ModernDive_files/figure-latex/unnamed-chunk-538-1} 
 
 }
 
-\caption{Boxplot of popularity by genre.}\label{fig:unnamed-chunk-537}
+\caption{Boxplot of popularity by genre.}\label{fig:unnamed-chunk-538}
 \end{figure}
 
 We can also compute the mean \texttt{popularity} grouping by \texttt{track\_genre}:
@@ -14898,7 +14898,7 @@ \subsubsection*{ANOVA}\label{anova}
 
 \begin{table}[H]
 \centering
-\caption{\label{tab:unnamed-chunk-540}Regression table for ANOVA example}
+\caption{\label{tab:unnamed-chunk-541}Regression table for ANOVA example}
 \centering
 \fontsize{10}{12}\selectfont
 \begin{tabular}[t]{l|r|r|r|r|r|r}
@@ -16194,7 +16194,7 @@ \subsection{Example: coffee quality rating scores}\label{example-coffee-quality-
 
 \begin{table}[H]
 \centering
-\caption{\label{tab:unnamed-chunk-570}Summary of coffee data}
+\caption{\label{tab:unnamed-chunk-571}Summary of coffee data}
 \centering
 \fontsize{7}{9}\selectfont
 \begin{tabular}[t]{lrllrrrrrrr}
@@ -16967,11 +16967,11 @@ \subsection{Model fit and diagnostics}\label{model-fit-mult}
 
 \begin{figure}[H]
 
-{\centering \includegraphics[width=\textwidth]{ModernDive_files/figure-latex/unnamed-chunk-587-1} 
+{\centering \includegraphics[width=\textwidth]{ModernDive_files/figure-latex/unnamed-chunk-588-1} 
 
 }
 
-\caption{Residuals vs. fitted values plot and QQ-plot for the multiple regression model.}\label{fig:unnamed-chunk-587}
+\caption{Residuals vs. fitted values plot and QQ-plot for the multiple regression model.}\label{fig:unnamed-chunk-588}
 \end{figure}
 
 The plot of residuals against fitted values (left) appears to be close to a null plot. This result is desirable because it supports the \textbf{L}inearity condition as no patterns are observed in this plot.
@@ -17095,7 +17095,7 @@ \subsubsection*{Getting the observed fitted model}\label{getting-the-observed-fi
 
 \begin{table}[H]
 \centering
-\caption{\label{tab:unnamed-chunk-592}The regression table for \texttt{mod\_mult}}
+\caption{\label{tab:unnamed-chunk-593}The regression table for \texttt{mod\_mult}}
 \centering
 \fontsize{8}{10}\selectfont
 \begin{tabular}[t]{lrrrrrr}
@@ -17321,11 +17321,11 @@ \subsubsection*{Hypothesis tests for the partial slopes}\label{hypothesis-tests-
 
 \begin{figure}[H]
 
-{\centering \includegraphics[width=\textwidth]{ModernDive_files/figure-latex/unnamed-chunk-599-1} 
+{\centering \includegraphics[width=\textwidth]{ModernDive_files/figure-latex/unnamed-chunk-600-1} 
 
 }
 
-\caption{Shaded p-values for the partial slopes in this multiple linear regression.}\label{fig:unnamed-chunk-599}
+\caption{Shaded p-values for the partial slopes in this multiple linear regression.}\label{fig:unnamed-chunk-600}
 \end{figure}
 
 From these visualizations, we can surmise that \texttt{aroma} and \texttt{flavor} are statistically significant, as their observed test statistics fall far to the right of the null distribution. On the other hand, \texttt{moisture\_percentage} is not statistically significant, as its observed test statistic falls within the null distribution. We can also compute the numerical \(p\)-values using the \texttt{get\_p\_value()} function.
@@ -17660,7 +17660,7 @@ \subsection{Exploratory data analysis: part I}\label{house-prices-EDA-I}
 
 \begin{table}[H]
 \centering
-\caption{\label{tab:unnamed-chunk-611}Summary of some house\_prices variables.}
+\caption{\label{tab:unnamed-chunk-612}Summary of some house\_prices variables.}
 \centering
 \fontsize{7.8}{9.8}\selectfont
 \begin{tabular}[t]{l|r|l|l|r|r|r|r|r|r|r}
@@ -18116,7 +18116,7 @@ \subsubsection*{Theory-based hypothesis testing for partial slopes}\label{theory
 
 \begin{table}[H]
 \centering
-\caption{\label{tab:unnamed-chunk-628}Regression table for interaction model}
+\caption{\label{tab:unnamed-chunk-629}Regression table for interaction model}
 \centering
 \fontsize{10}{12}\selectfont
 \begin{tabular}[t]{lrrrrrr}

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