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 } & \text { MS } & F \\\hline \text { Regresssumm } & 1 & 7685099 & 1685099 & 19.3444 \\\hline \text { Residual } & 9 & 7839.915 & 871.1017 & \\\hline \text { Total } & 10 & 24690.91 & & \\\hline\end{array}

\begin{array} { | l | } \hline S _ { \mathrm { d } } = 29.51448 \\\hline r ^ { 2 } = 0.682478 \\\hline\end{array}

Abby's regression model is __________.
A) $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 = 39.15 + 2.79x<br>B)11efcd22_8a09_b9c8_b057_7d6699c46fc2_TB7041_00= 39.15 - 1.79x<br>C)11efcd22_8a09_b9c8_b057_7d6699c46fc2_TB7041_00 = 1.79 + 39.15x<br>D)11efcd22_8a09_b9c8_b057_7d6699c46fc2_TB7041_00 = -1.79 + 39.15x<br>E)11efcd22_8a09_b9c8_b057_7d6699c46fc2_TB7041_00 = 39.15 + 1.79xs), and her independent variable is annual household income (in $1,000's).Regression analysis of the data yielded the following tables. \begin{array}{|c|c|c|c|c|} \hline \text { Source } & \text { df } & \text { SS } & \text { MS } & F \\ \hline \text { Regresssumm } & 1 & 7685099 & 1685099 & 19.3444 \\ \hline \text { Residual } & 9 & 7839.915 & 871.1017 & \\ \hline \text { Total } & 10 & 24690.91 & & \\ \hline \end{array} \begin{array} { | l | } \hline S _ { \mathrm { d } } = 29.51448 \\ \hline r ^ { 2 } = 0.682478 \\ \hline \end{array} Abby's regression model is __________. A) = 39.15 + 2.79x B) = 39.15 - 1.79x C) = 1.79 + 39.15x D) = -1.79 + 39.15x E) = 39.15 + 1.79x$

\begin{array}{|c|c|c|c|c|}\hline \text { Source } & \text { df } & \text { SS } & \text { MS } & F \\\hline \text { Regresssumm } & 1 & 7685099 & 1685099 & 19.3444 \\\hline \text { Residual } & 9 & 7839.915 & 871.1017 & \\\hline \text { Total } & 10 & 24690.91 & & \\\hline\end{array}

\begin{array} { | l | } \hline S _ { \mathrm { d } } = 29.51448 \\\hline r ^ { 2 } = 0.682478 \\\hline\end{array}

Abby's regression model is __________.
A)11efcd22_8a09_b9c8_b057_7d6699c46fc2_TB7041_00 = 39.15 + 2.79x
B)11efcd22_8a09_b9c8_b057_7d6699c46fc2_TB7041_00= 39.15 - 1.79x
C)11efcd22_8a09_b9c8_b057_7d6699c46fc2_TB7041_00 = 1.79 + 39.15x
D)11efcd22_8a09_b9c8_b057_7d6699c46fc2_TB7041_00 = -1.79 + 39.15x
E)11efcd22_8a09_b9c8_b057_7d6699c46fc2_TB7041_00 = 39.15 + 1.79xs), 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 } & \text { MS } & F \\ \hline \text { Regresssumm } & 1 & 7685099 & 1685099 & 19.3444 \\ \hline \text { Residual } & 9 & 7839.915 & 871.1017 & \\ \hline \text { Total } & 10 & 24690.91 & & \\ \hline \end{array} \begin{array} { | l | } \hline S _ { \mathrm { d } } = 29.51448 \\ \hline r ^ { 2 } = 0.682478 \\ \hline \end{array} Abby's regression model is __________. A) = 39.15 + 2.79x B) = 39.15 - 1.79x C) = 1.79 + 39.15x D) = -1.79 + 39.15x E) = 39.15 + 1.79x " class="answers-bank-image d-block" rel="preload" > = 39.15 + 2.79x
B)11efcd22_8a09_b9c8_b057_7d6699c46fc2_TB7041_00= 39.15 - 1.79x
C)11efcd22_8a09_b9c8_b057_7d6699c46fc2_TB7041_00 = 1.79 + 39.15x
D)11efcd22_8a09_b9c8_b057_7d6699c46fc2_TB7041_00 = -1.79 + 39.15x
E)11efcd22_8a09_b9c8_b057_7d6699c46fc2_TB7041_00 = 39.15 + 1.79xs), 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 } & \text { MS } & F \\ \hline \text { Regresssumm } & 1 & 7685099 & 1685099 & 19.3444 \\ \hline \text { Residual } & 9 & 7839.915 & 871.1017 & \\ \hline \text { Total } & 10 & 24690.91 & & \\ \hline \end{array} \begin{array} { | l | } \hline S _ { \mathrm { d } } = 29.51448 \\ \hline r ^ { 2 } = 0.682478 \\ \hline \end{array} Abby's regression model is __________. A) = 39.15 + 2.79x B) = 39.15 - 1.79x C) = 1.79 + 39.15x D) = -1.79 + 39.15x E) = 39.15 + 1.79x " class="answers-bank-image d-block" rel="preload" >

\begin{array}{|c|c|c|c|c|}\hline \text { Source } & \text { df } & \text { SS } & \text { MS } & F \\\hline \text { Regresssumm } & 1 & 7685099 & 1685099 & 19.3444 \\\hline \text { Residual } & 9 & 7839.915 & 871.1017 & \\\hline \text { Total } & 10 & 24690.91 & & \\\hline\end{array}

\begin{array} { | l | } \hline S _ { \mathrm { d } } = 29.51448 \\\hline r ^ { 2 } = 0.682478 \\\hline\end{array}

The Equation of the Trend Line for the Data Based

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