Write and Interpret a Linear Regression Equation A) 95459
B)

Write and interpret a linear regression equation.
-A small independent organic food store offers a variety of specialty coffees. To
Determine whether price has an impact on sales, the managers kept track of how many
Pounds of each variety of coffee were sold last month. Based on the data and summary
Statistics shown below, the intercept of the estimated regression line that relates the
Response variable (monthly sales) to the predictor variable (price per pound) is $$\begin{array} { | l | l | l | } \hline & \text { PRICE PER POUND } & \text { POUNDS SOLD } \\\hline & \$ 3.99 & 75 \\\hline & \$ 5.99 & 60 \\\hline & \$ 7.00 & 65 \\\hline & \$ 12.00 & 45 \\\hline & \$ 4.50 & 80 \\\hline & \$ 7.50 & 70 \\\hline & \$ 15.00 & 25 \\\hline & \$ 10.00 & 35 \\\hline & \$ 12.50 & 40 \\\hline & \$ 8.99 & 50 \\\hline & & \\\hline \text { Mean } & \$ 8.75 & 54.50 \\\hline \text { Standard Deviation } & \$ 3.63 & 18.33 \\\hline \text { Correlation } & - \mathbf { 0 . 9 2 7 } & \\\hline\end{array}$$

A) 95.459.
B) .858.
C) -4.684.
D) -.858.
E) -8.999.