tungum wishes to demonstrate to its clients the effectiveness of the advertising campaigns it has conducted. The following blivariate data on twelve camis, inducing the cost of each campaign (in millions of dollars) and the resulting percentage increase in sales following the campaign, were presented by the tim. Based on these data, we would compute the least squares regression line to be y-6.15 +0.19%, with 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.) Increase in sales, y (percent) 6.76 6.62 665 Campaign cost, in millions of dollars) 361 293 20 163 32 409 201 3.53 305 6.50 7.00 6.75 Increase in sales (percent) 695 631 655 65 Camount 1. 163