Solve the problem.
-The paired data below consist of the costs of advertising (in thousands of dollars)and the number of products sold (in thousands). By using linear regression, the following function is obtained: Y = 55.8 + 2.79x where x is the cost of advertising (in thousands of dollars)and y is number of products sold (in thousands). Use this function to predict the number of products sold if the cost of Advertising is $9000. $\begin{array} { c | r r r r r r r r }
\text { Cost } & 9 & 2 & 3 & 4 & 2 & 5 & 9 & 10 \
\hline \text { Number } & 85 & 52 & 55 & 68 & 67 & 86 & 83 & 73
\end{array}$
A) 25,165.8
B) 77.91
C) 80.91
D) 87.61

Question

Solve the problem.
-The paired data below consist of the costs of advertising (in thousands of dollars)and the number of products sold (in thousands). By using linear regression, the following function is obtained: Y = 55.8 + 2.79x where x is the cost of advertising (in thousands of dollars)and y is number of products sold (in thousands). Use this function to predict the number of products sold if the cost of Advertising is $9000. $\begin{array} { c | r r r r r r r r } 
\text { Cost } & 9 & 2 & 3 & 4 & 2 & 5 & 9 & 10 \
\hline \text { Number } & 85 & 52 & 55 & 68 & 67 & 86 & 83 & 73
\end{array}$
A)  25,165.8 
B)  77.91 
C)  80.91 
D)  87.61

Quizplus · Accepted Answer

The Answer of Solve the problem.
-The paired data below consist of the costs of advertising (in thousands of dollars)and the number of products sold (in thousands). By using linear regression, the following function is obtained: Y = 55.8 + 2.79x where x is the cost of advertising (in thousands of dollars)and y is number of products sold (in thousands). Use this function to predict the number of products sold if the cost of Advertising is $9000. $\begin{array} { c | r r r r r r r r } 
\text { Cost } & 9 & 2 & 3 & 4 & 2 & 5 & 9 & 10 \
\hline \text { Number } & 85 & 52 & 55 & 68 & 67 & 86 & 83 & 73
\end{array}$
A)  25,165.8 
B)  77.91 
C)  80.91 
D)  87.61

Solve the Problem A) 25,165