A marketing analyst is studying the relationship between x = amount spent on television advertising and y= increase in sales. The data are reported in thousands of dollars. The following data represents a random sample from the study. X (advertising) 15,28,19,47,10,92Y (sales increase) 340,260,152,413,130,855

e. Compute the sample correlation coefficient r.slugros wab navin art) 10 1 d = 5X3 f. Compute the coefficient of determination r? YX3 enil earsupe-lessl edi to nottoupe ent = xd + 6 = g. What percentage of the variation in an increase in sales is explained by the amount spent on television advertising and the least-squares line? h. What percentage of the variation in an increase in sales is unexplained by the amount spent on television advertising and the least-squares line? mis wov almog eni worle) mampsib 1elisse wov no enil sonsupa lesol erit as10) b i. Suppose that the amount spent on advertising is $37,000. What does the least- squares line predict for the increase in sales