\f\fa) What is the linear regression equation for predicting Total Yearly Purchase from Income? Select the correct choice below and fill in the answer boxes within your choice. (Round to four decimal places as needed.) O A m = + ( )Total Yearly Purchases Question Viewer O B. Total Yearly Purchases = + (| )Income b) Do the assumptions and conditions for regression appear to be met? Select all that apply. A. No, the scatterplot does not thicken. B. Yes, all assumptions and conditions are met. C. No, one of the variables is quantitative. D. No, there are no extreme outliers. Question Viewer E. No, the relationship is not curved enough. F. No, the scatterplot thickens. G. No, the relationship is not straight enough. H. No, there is an extreme outlier. No one of the variables is qualitativec) What is the predicted Total Yearly Purchase for someone with a yearly Income of $15,0007? For someone with an annual Income of $85,0007 Question Viewer The predicted Total Yearly Purchase for someone with a yearly Income of $15,000 is $|:|. (Round to the nearest cent as needed.) The predicted Total Yearly Purchase for someone with a yearly Income of $85,000 is $|:|. (Round to the nearest cent as needed.) d) What percent of the variability in Total Yearly Purchases is accounted for by this model? [ % (Round to one decimal place as needed.) e) Might the regression be a useful one for the company? Comment. \\_v[ the v