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Louis Katz, a Cost Accountant at Papalote Plastics, Inc $\begin{array} { | c | } \hline S _ { 8 } = 0.898 \\\hline r ^ { 2 } = 0.526341 \\\hline\end{array}$

Question 48

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Louis Katz, a cost accountant at Papalote Plastics, Inc.(PPI) , is analyzing the manufacturing costs of a molded plastic telephone handset produced by PPI.Louis's independent variable is production lot size (in 1,000's of units) , and his dependent variable is the total cost of the lot (in $100's) .Regression analysis of the data yielded the following tables. $Louis Katz, a cost accountant at Papalote Plastics, Inc.(PPI) , is analyzing the manufacturing costs of a molded plastic telephone handset produced by PPI.Louis's independent variable is production lot size (in 1,000's of units) , and his dependent variable is the total cost of the lot (in $100's) .Regression analysis of the data yielded the following tables. \begin{array}{|c|c|c|c|c|} \hline \text { Soures } & \text { df } & \text { SS } & \text { MS } & F \\ \hline \text { Regressiumm } & 1 & 9.858769 & 9.858768 & 12.22345 \\ \hline \text { Retidual } & 11 & 8.872 & 0.806545 & \\ \hline \text { Tlotel } & 12 & 78.73077 & &\\ \hline \end{array} \begin{array} { | c | } \hline S _ { 8 } = 0.898 \\ \hline r ^ { 2 } = 0.526341 \\ \hline \end{array} Louis's regression model is ________________. A) = -0.358 + 3.996x B) = 0.358 + 3.996x C) = -3.996 + 0.358x D) = 3.996 - 0.358x E) = 3.996 + 0.358x$ $\begin{array}{|c|c|c|c|c|}\hline \text { Soures } & \text { df } & \text { SS } & \text { MS } & F \\\hline \text { Regressiumm } & 1 & 9.858769 & 9.858768 & 12.22345 \\\hline \text { Retidual } & 11 & 8.872 & 0.806545 & \\\hline \text { Tlotel } & 12 & 78.73077 & &\\\hline \end{array}$ $\begin{array} { | c | } \hline S _ { 8 } = 0.898 \\\hline r ^ { 2 } = 0.526341 \\\hline\end{array}$ Louis's regression model is ________________.

A) $Louis Katz, a cost accountant at Papalote Plastics, Inc.(PPI) , is analyzing the manufacturing costs of a molded plastic telephone handset produced by PPI.Louis's independent variable is production lot size (in 1,000's of units) , and his dependent variable is the total cost of the lot (in $100's) .Regression analysis of the data yielded the following tables. \begin{array}{|c|c|c|c|c|} \hline \text { Soures } & \text { df } & \text { SS } & \text { MS } & F \\ \hline \text { Regressiumm } & 1 & 9.858769 & 9.858768 & 12.22345 \\ \hline \text { Retidual } & 11 & 8.872 & 0.806545 & \\ \hline \text { Tlotel } & 12 & 78.73077 & &\\ \hline \end{array} \begin{array} { | c | } \hline S _ { 8 } = 0.898 \\ \hline r ^ { 2 } = 0.526341 \\ \hline \end{array} Louis's regression model is ________________. A) = -0.358 + 3.996x B) = 0.358 + 3.996x C) = -3.996 + 0.358x D) = 3.996 - 0.358x E) = 3.996 + 0.358x$ = -0.358 + 3.996x
B) 11efcd22_8a09_b9c8_b057_7d6699c46fc2_TB7041_00 = 0.358 + 3.996x
C) 11efcd22_8a09_b9c8_b057_7d6699c46fc2_TB7041_00 = -3.996 + 0.358x
D) 11efcd22_8a09_b9c8_b057_7d6699c46fc2_TB7041_00 = 3.996 - 0.358x
E) 11efcd22_8a09_b9c8_b057_7d6699c46fc2_TB7041_00 = 3.996 + 0.358x

Louis Katz, a Cost Accountant at Papalote Plastics, Inc S8=0.898r2=0.526341\begin{array} { | c | } \hline S _ { 8 } = 0.898 \\\hline r ^ { 2 } = 0.526341 \\\hline\end{array}S8​=0.898r2=0.526341​​

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Louis Katz, a Cost Accountant at Papalote Plastics, Inc $\begin{array} { | c | } \hline S _ { 8 } = 0.898 \\\hline r ^ { 2 } = 0.526341 \\\hline\end{array}$

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