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A Small Independent Organic Food Store Offers a Variety of Specialty

Question 56

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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. The data, scatterplot, and summary statistics are shown below.
 PRICE PER POUND  POUNDS SOLD $3.9975$5.9960$7.0065$12.0045$4.5080$7.5070$15.0025$10.0035$12.5040 Mean $8.9950 Corandard Deviation $8.7554.50$3.6318.33\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 \text { Mean } & \$ 8.99 & 50 \\\hline & & \\\hline \text { Corandard Deviation } & \$ 8.75 & 54.50 \\\hline & \$ 3.63 & 18.33 \\\hline & & \\\hline\end{array}
 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.  The data, scatterplot, and summary statistics are shown below.   \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 \text { Mean } & \$ 8.99 & 50 \\ \hline & & \\ \hline \text { Corandard Deviation } & \$ 8.75 & 54.50 \\ \hline & \$ 3.63 & 18.33 \\ \hline & & \\ \hline \end{array}    -Estimate the linear regression model that relates the response variable (monthly sales) to the predictor variable (price per pound). a. Find the slope of the regression line. b. Find the intercept of the regression line. c. Write the equation of the linear model.
-Estimate the linear regression model that relates the response variable (monthly sales) to the predictor variable (price per pound).
a. Find the slope of the regression line.
b. Find the intercept of the regression line.
c. Write the equation of the linear model.

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