A regression analysis between sales (in $1000) and advertising (in $100) yielded the least squares line = 75 +6x. This implies that if $800 is spent on advertising, then the predicted amount of sales (in dollars) is: $\begin{array}{|l|l|}
\hline A&\text { \$ 4,875}\
\hline B&\text {\$ 123,000 }\
\hline C&\text { \$ 487,500}\
\hline D&\text { \$ 12,300}\
\hline
\end{array}$

Question

A regression analysis between sales (in $1000) and advertising (in $100) yielded the least squares line  = 75 +6x. This implies that if $800 is spent on advertising, then the predicted amount of sales (in dollars) is: $\begin{array}{|l|l|}
\hline A&\text { \$ 4,875}\
\hline B&\text {\$ 123,000 }\
\hline C&\text {  \$ 487,500}\
\hline D&\text { \$ 12,300}\
\hline 
\end{array}$

Quizplus · Accepted Answer

The Answer of A regression analysis between sales (in $1000) and advertising (in $100) yielded the least squares line  = 75 +6x. This implies that if $800 is spent on advertising, then the predicted amount of sales (in dollars) is: $\begin{array}{|l|l|}
\hline A&\text { \$ 4,875}\
\hline B&\text {\$ 123,000 }\
\hline C&\text {  \$ 487,500}\
\hline D&\text { \$ 12,300}\
\hline 
\end{array}$

A Regression Analysis Between Sales (In $1000) and Advertising (In