The following table contains data on the cost per page (in cents) for printing in color and the retail price for a random sample of printers.

Cost of Color	Price
15.7	11.73
7.6	337.5
7.6	239.08
14.3	38.33
8.7	332.31
15	106.17
14.2	180.65
9.5	271.25
7.6	273.93
17.4	88.33
17.7	145.08
18.3	77.28
12.4	201.74
6.8	231.51

Part A Determine the correlation coefficient of the cost per page (in cents) for printing in color and the retail price. Round it to 5 decimal places if possible.

Part B The correlation coefficient suggests that there is (strong/moderately strong/moderately weak/weak)? (positive/negative)? (linear/non-linear)? between the cost per page (in cents) for printing in color and the retail price of the printers in the sample.

Part C Suppose we want to test whether there is a linear relationship between the cost per page (in cents) for printing in color and the retail price of all printers. Since the correlation coefficient (in absolute value) is (larger/less)? than the decision point (?) , the sample data (have sufficient evidence/do not have sufficient evidence)? to conclude that there is a linear relationship between the cost per page (in cents) for printing in color and the retail price of all printers.

Part D Determine the regression equation that predicts the retail price of a printer from the cost per page (in cents) for printing in color. (Price Predicted/Price/Cost of Color/Predicted Cost of Color)? = _ + ( _ )(Price/Predicted Price/Cost of Color/Predicted Cost of Color)? Round the intercept and slope to 8 decimal places if possible.

Part E Provide a 90% prediction interval for the retail price of a printer if this printer requires ____________. Round the interval estimates to 8 decimal places if possible. (a) 10.5 cents to print a color document = and (b) 11.5 cents to print a color document = and (c) 12.5 cents to print a color document = and