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

Question

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

Quizplus · Accepted Answer

The Answer of 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

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​​

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