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36-617: Applied Linear Models\\
Fall 2021\\
HW11 -- Ungraded, undue.
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% \item Please turn the homework in to Gradescope using the appropriate link in our course webspace at canvas.cmu.edu, under Assignments. 

\item The relevant reading is
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\item James et al. {\em Introduction to Statistical Learning with R.} Chapter 7.
\item Sheather, appendix on nonparametric regression
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Both are available as pdfs on Canvas (or from Springer Link).

\item All of the problems below are from, or based on, the problem set at the end of James et al. Ch 7, pp. 321 ff.

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\section*{Exercises}

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\item[] {\bf Theory-ish Problems}

\item Please do James et al., \#1, pp. 321--322.  {\em Note: Math is fun!}

\item Please do James et al., \#11, pp. 325--326.  {\em Note: you have seen me do a variation of part (a) many times in class, for demonstrations! Some examples are in the lecture notes on causal inference, for example.}

\item[] {\bf Data-analysis-ish Problems}

\item Please do James et al., \#8, p. 324.    {\em Note: you will need to install the package ISLR2 to have access to the data.}

\item Please do James et al., \#9, p. 324.    {\em Note: you will need to install the package ISLR2 to have access to the data.}

\item Please do James et al., \# 10, pp. 324--325.  {\em Note: you will need to install the package ISLR2 to have access to the data.}

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