A candy bar manufacturer is interested in trying to estimate how sales are influenced by the price of their product. , the company randomly chooses six small cities and offers the candy bar at different prices. (SSTotal = 6294 and SSE = 844) City Price ($) # candy bars sold Solebury 1.30 100 Monmouth 1.40 90 Royston 1.50 90 Decatur 1.60 40 Athens 1.70 38 Colbert 1.80 32

a) Draw a scatter diagram with the estimated regression line.

b) Enter the data into your calculator and determine the regression line

c) Interpret the slope, b1

d) Calculate the coefficient of determination, r2 , and interpret.

e) Calculate correlation coefficient, r , and interpret.

f) If the price of the candy bar is set at $1.55, what is the predicted sales?

g) At the 0.05 level of significance, is there evidence of a linear relationship between the cost of the candy bar and number of candy bars sold? (perform an Ftest)