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Question 10 of 16 (1 point) Question Attempt: 1 of 1 -3 4 5 6 7 8 9 10 11 12 13 14 15 16 5 An advertising firm wishes to demonstrate to its clients the effectiveness of the advertising campaigns it has conducted. The following bivariate data on twelve recent campaigns, including the cost of each campaign (in millions of dollars) and the resulting percentage increase in sales following the campaign, were presented by the firm. Based on these data, we would compute the least-squares regression line to be y=6.14+0.19x, with x representing campaign cost and y representing the resulting percentage increase in sales. (This line is shown below, along with a scatter plot of the data.) Campaign cost, x (in millions of dollars) Increase in sales, y (percent) 1.65 6.59 3.86 6.96 2.85 6.60 2.23 6.62 3.40 6.82 3.75 6.80 2.89 6.87 1.99 6.81 3.04 6.53 1.56 6.22 1.42 6.36 75 Campaign cost (in millions of dollars) 2.19 6.47 Send data to calculator v Send data to Excel Based on the firm's data and the regression line, answer the following. X (a) From the regression equation, what is the predicted percentage increase in sales when the advertising campaign cost is 2.19 million dollars? Round your answer to two or more decimal places. D (b) From the regression equation, what is the predicted percentage increase in sales when the advertising campaign cost) is 3.34 million dollars? Round your answer to two or more decimal places. Continue 66 A F3 DOD 000 F4 F5 Increase in sales Creat F6 44 F7 1:21:36 ▶11 F8 15 ? W Thea V Submit Assignment F9 Espatel