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. 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 <span class=

\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

A Researcher Has Developed the Regression Equation ŷ = 2

Multiple Choice

Correct Answer:VerifiedUnlock this answer nowGet Access to more Verified Answers free of chargeAccess For Free

Correct Answer:
Verified
Unlock this answer now
Get Access to more Verified Answers free of charge