Based on the firm's data and the regression line, answer the following.A. From the regression equation, what is the predicted percentage increase in sales when the advertising campaign cost is 1.50 million dollars? Round your answer to two or more decimal places.B. From the regression equation, what is the predicted percentage increase in sales when the advertising campaign cost is 1.62 million dollars? Round your answer to two or more decimal places. An advertising firm wishes to demonstrate to its clients the effectiveness of the advertising campaigns it has conducted. The following bivariate data on twelverecent campaigns, including the cost of each campaign (in millions of dollars) and the resulting percentage increase in sales following the campaign, werepresented by the firm. Based on these data, we would compute the least-squares regression line to be y = 6.17+0.18x, with x representing campaign costand 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)2.993.133.543.221.622.193.762.05Increase in sales, y(percent)6.626.936.856.566.686.496.806.75Increase in sales(percent)7.2+7-6.86.6-6.4-6.26+XXXX

It is given that x representing campaign cost and y representing the resulting percentage increase…

From the regression equation, what is the predicted percentage increase in sales when the advertising campaign cost is 1.50 million dollars? Round your answer to two or more decimal places. B. From the regression equation, what is the predicted percentage increase in sales when the advertising campaign cost is 1.62 million dollars?

From the regression equation, what is the predicted percentage increase in sales when the advertising campaign cost is 1.50 million dollars? Round your answer to two or more decimal places. B. From the regression equation, what is the predicted percentage increase in sales when the advertising campaign cost is 1.62 million dollars?

Linear Algebra: A Modern Introduction

4th Edition

ISBN:9781285463247

Author:David Poole

Publisher:David Poole

Chapter4: Eigenvalues And Eigenvectors

Section4.6: Applications And The Perron-frobenius Theorem

Problem 22EQ

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