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Abby Kratz, a Market Specialist at the Market Research Firm

Question 92

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.  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= Souros  df  SS  MS F Regresssium 176850.9916850.9919.34446 Residual 97839.915871.1017 Total 1024690.91\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}
Se=29.51448r2=0.682478\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" >  Souros  df  SS  MS F Regresssium 176850.9916850.9919.34446 Residual 97839.915871.1017 Total 1024690.91\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}
Se=29.51448r2=0.682478\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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