There’s two part to this question. It has parts A-E. 5060AgegrThe correlation between Total Yearly Purchases and Age isr = 0.037. Summary statistics for the two variables are:reMeanSDAge29.67 yr8.51 yr70Total Yearly Purchase$572.52$253.62600a) What is the linear regression equation for predicting TotalYearly Purchase from Age?b) Do the assumptions and conditions for regression appear to500-be met?c) What is the predicted Total Yearly Purchase for an18-year-old? For a 50-year-old?d) What percent of the variability in Total Yearly Purchases isaccounted for by this model?e) Do400youthink the regression might be a useful one for thecompany? Explain.a) Describe52. Online clothes II For the online clothing retailer discussed inthe previous problem, the scatterplot of Total Yearly Purchasesby Income looks like this:b) Are thereoverall pac) For theseMath SAT 51. Online clothes An online clothing retailer keeps track of itscustomers' purchases. For those customers who signed up for thecompany's credit card, the company also has information onthe customer's Age and Income. A random sample of 500 ofthese customers shows the following scatterplot of Total YearlyPurchases by Age:a)b).c) LWear1400d) W1200ac1000e) Do800cor60053. SAT se400cation200have ncSAT-Mathe questhe mathgraduatinregression2030405060AgeThe correlation between Total Yearly Purchases and Age isr = 0.037. Summary statistics for the two variables are:800Total Yearly Purchases ($)

Age The correlation between Total Yearly Purchases and Age is r = 0.037. Summary statistics for the two variables are: Mean SD 29.67 yr 8.51 yr Age Total Yearly Purchase $572.52 $253.62 a) What is the linear regression equation for predicting Total Yearly Purchase from Age? b) Do the assumptions and conditions for regression appear to be met? c) What is the predicted Total Yearly Purchase for an 18-year-old? For a 50-year-old?