Abby Kratz, a Market Specialist at the Market Research Firm

Multiple Choice

Abby Kratz, a market specialist at the market research firm of Saez, Sikes, and Spitz, is analyzing household budget data collected by her firm.Abby's dependent variable is monthly household expenditures on groceries (in $'s) , and her independent variable is annual household income (in $1,000's) .Regression analysis of the data yielded the following tables. $\begin{array}{|c|c|c|c|c|}\hline \text { Source} & \text { df } & \text { SS } & \mathrm{MS} & F \\\hline \text { Regresssiom } & 1 & 76850.99 & 16850.99&19 .34446 \\\hline \text { Retidual } & 9 & 7839.915 & 871.1017 & \\\hline \text { Total } & 10 & 24690.91 & & \\\hline\end{array}$ $$\begin{array} { | l | } \hline S _ { \mathrm { e } } = 29.51448 \\\hline r ^ { 2 } = 0.682478 \\\hline\end{array}$$ The correlation coefficient between the two variables in this regression is __________.
A) 0.682478
B) -0.83
C) 0.83
D) -0.68
E) 1.0008s) , and her independent variable is annual household income (in $1,000's) .Regression analysis of the data yielded the following tables. \begin{array}{|c|c|c|c|c|} \hline \text { Source} & \text { df } & \text { SS } & \mathrm{MS} & F \\ \hline \text { Regresssiom } & 1 & 76850.99 & 16850.99&19 .34446 \\ \hline \text { Retidual } & 9 & 7839.915 & 871.1017 & \\ \hline \text { Total } & 10 & 24690.91 & & \\ \hline \end{array} \begin{array} { | l | } \hline S _ { \mathrm { e } } = 29.51448 \\ \hline r ^ { 2 } = 0.682478 \\ \hline \end{array} The correlation coefficient between the two variables in this regression is __________. A) 0.682478 B) -0.83 C) 0.83 D) -0.68 E) 1.0008 " class="answers-bank-image d-block" rel="preload" > $\begin{array}{|c|c|c|c|c|}\hline \text { Source} & \text { df } & \text { SS } & \mathrm{MS} & F \\\hline \text { Regresssiom } & 1 & 76850.99 & 16850.99&19 .34446 \\\hline \text { Retidual } & 9 & 7839.915 & 871.1017 & \\\hline \text { Total } & 10 & 24690.91 & & \\\hline\end{array}$ $$\begin{array} { | l | } \hline S _ { \mathrm { e } } = 29.51448 \\\hline r ^ { 2 } = 0.682478 \\\hline\end{array}$$ The correlation coefficient between the two variables in this regression is __________.

A) 0.682478
B) -0.83
C) 0.83
D) -0.68
E) 1.0008