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 { Souros } & \text { df } & \text { SS } & \text { MS } & F \\\hline \text { Regresssium } & 1 & 76850.99 & 16850.99&19.34446 \\\hline \text { Residual } & 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}

For a household with $50,000 annual income, Abby's model predicts monthly grocery expenditures of ________________.
A)$150
B)$50
C)$1,959
D)$129
E)$1288s), 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 { Souros } & \text { df } & \text { SS } & \text { MS } & F \\ \hline \text { Regresssium } & 1 & 76850.99 & 16850.99&19.34446 \\ \hline \text { Residual } & 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} For a household with $50,000 annual income, Abby's model predicts monthly grocery expenditures of ________________. A)$150 B)$50 C)$1,959 D)$129 E)$1288 " class="answers-bank-image d-block" rel="preload" >

\begin{array}{|c|c|c|c|c|}\hline \text { Souros } & \text { df } & \text { SS } & \text { MS } & F \\\hline \text { Regresssium } & 1 & 76850.99 & 16850.99&19.34446 \\\hline \text { Residual } & 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}

For a household with $50,000 annual income, Abby's model predicts monthly grocery expenditures of ________________.
A)$150
B)$50
C)$1,959
D)$129
E)$1288

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