I only need help on part D and E it’s all one questions , Not graded , I don’t understand it. uiegraduating class areregression line addecThe correlation between Total Yearly Purchases and Age isr = 0.037. Summary statistics for the two variables are:800 +MeanSDAge29.67 yr8.51 yr700Total Yearly Purchase$572.52$253.62600a) What is the linear regression equation for predicting TotalYearly Purchase from Age?b) Do the assumptions and conditions for regression appear to500be met?c) What is the predicted Total Yearly Purchase for an18-year-old? For a 50-year-old?d) What percent of the variability in Total Yearly Purchases isaccounted for by this model?400400e) Do you think the regression might be a useful one for thecompany? Explain.52. Online clothes II For the online clothing retailer discussed inthe previous problem, the scatterplot of Total Yearly Purchasesby Income looks like this:a) Describe the relationb) Are there any studenoverall pattern?c) For these data, r = Cd) These verbal scores ation of 99.5, and the1400standard deviation of1200sion line predicting me) Interpret the slope off) Predict the math score1000800600500Purchases ($)Math SAT Section 7.5P Pearson+ses/6018339/products/124333/pages/253?locale=&platformld=1030&iesCodeDChapter 7 Linear Regr51. 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:140012001000e)80060053. SA400cati200havSATthe2030405060the rAgegradThe correlation between Total Yearly Purchases and Age isr = 0.037. Summary statistics for the two variables are:regre800MeanSDAge29.67 yr8.51 yr700Total Yearly Purchase$572.52$253.62600a) What is the linear regression equation for predicting TotalYearly Purchase from Age?b) Do the assumptions and conditions for regression appear to500 +be met?c) What is the predicted Total Yearly Purchase for an18-year-old? For a 50-year-old?400Total Yearly Purchases ($)Math SAT

A linear regression equation represents a numerical relationship between a dependent and an…

The correlation between Total Yearly Purchases and Age is r = 0.037. Summary statistics for the two variables are: Mean SD Age 29.67 yr 8.51 yr 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? d) What percent of the variability in Total Yearly Purchases is accounted for by this model? e) Do you think the regression might be a useful one for the company? Explain.