\documentclass[12pt]{article} %\usepackage{amsbsy} % for \boldsymbol and \pmb %\usepackage{graphicx} % To include pdf files! \usepackage{amsmath} \usepackage{amsbsy} \usepackage{amsfonts} %\usepackage[colorlinks=true, pdfstartview=FitV, linkcolor=blue, citecolor=blue, urlcolor=blue]{hyperref} % For links \usepackage{fullpage} % Good for US Letter paper \topmargin=-0.75in \textheight=9.5in \usepackage{fancyhdr} \renewcommand{\headrulewidth}{0pt} % Otherwise there's a rule under the header \setlength{\headheight}{15.2pt} \fancyhf{} \pagestyle{fancy} \cfoot{Page \thepage {} of 2} % %\pagestyle{empty} % No page numbers \begin{document} %\enlargethispage*{1000 pt} \begin{flushright} Name \underline{\hspace{60mm}} \\ $\,$ \\ Student Number \underline{\hspace{60mm}} \end{flushright} \vspace{5mm} \begin{center} {\Large \textbf{STA 442/2101 F 2012 Quiz 6}}\\ \vspace{1 mm} \end{center} \begin{enumerate} \item (5 points) This question is based on the normal linear model $\mathbf{Y} = \mathbf{X} \boldsymbol{\beta} + \boldsymbol{\epsilon}$. You may use facts like these without proof. {\small \vspace{3mm} \begin{tabular}{ll} \hline &\\ $\widehat{\boldsymbol{\beta}} = (\mathbf{X}^\prime \mathbf{X})^{-1} \mathbf{X}^\prime \mathbf{Y} \sim N_p\left(\boldsymbol{\beta}, \sigma^2 (\mathbf{X}^\prime \mathbf{X})^{-1}\right)$ & $SSE/\sigma^2 \sim \chi^2(n-p)$ \\ &\\ $SSE$ and $\widehat{\boldsymbol{\beta}}$ are independent. & If $Z\sim N(0,1)$ and $W \sim \chi^2(\nu)$ are independent, \\ & then $T = \frac{Z}{\sqrt{W/\nu}} \sim t(\nu)$. \\ & \\ \hline \end{tabular} } % End size We seek a statistic that can be used to construct tests or a confidence interval for the linear combination $\mathbf{a}^\prime \boldsymbol{\beta}$, where $\mathbf{a}$ is a $p \times 1$ vector of constants. \begin{enumerate} \item What is the distribution of $\mathbf{a}^\prime \widehat{\boldsymbol{\beta}}$? Just write down the answer if you can. Show work only if you have to. \vspace{40mm} \item Standardize your answer by subtracting off the expected value and dividing by the standard deviation. Call this random variable $Z$. What is the distribution of $Z$? \newpage \item Divide $Z$ by the square root of a chi-squared random variable, divided by its degrees of freedom, and simplify. Call this statistic $T$. Show a little work. \vspace{80mm} \item How do you know that the numerator and denominator are independent? \vspace{30mm} \end{enumerate} \item (5 points) This question is based on your printout from the SAT data --- the model with two explanatory variables, Math test score and Verbal test score. \textbf{\emph{Write your answers in the blanks below, and also circle them on your printout.} On the printout, label the answers 2a, 2b etc.} \begin{enumerate} \item \underline{\hspace{10mm}} What proportion of the variation (\emph{not} remaining variation) in first-year Grade point Average is explained by Math test score and Verbal test score? The answer is a single number from your printout. \item \underline{\hspace{10mm}} Give the test statistic for testing $H_0: \beta_1=\beta_2=0$. Your answer is a single number, a value of $t$ or $F$, from your printout. \item \underline{\hspace{10mm}} Controlling for Verbal score, is Math score related to first-year grade point average? Give the value of the test statistic. Your answer is a single number, a value of $t$ or $F$, from your printout. \item \underline{\hspace{10mm}} Controlling for Math score, is Verbal score related to first-year grade point average? Give the value of the test statistic. Your answer is a single number, a value of $t$ or $F$, from your printout. \item \underline{\hspace{10mm}}~~~\underline{\hspace{10mm}} Give a 95\% prediction interval for a student who got 650 on the Verbal and 700 on the Math SAT. Your answer is a set of two numbers from your printout, the lower prediction limit and the upper prediction limit. \end{enumerate} \end{enumerate} \begin{center}\textbf{Attach your printout for Question 2 (Homework Question 8). Make sure your name is written on the printout.}\end{center} \end{document}