Please answer questions A-E

A company tracks its customers' age and income. A random sample of 25 customers shows the following scatterplot of Total Yearly Purchases (TYP) by age. The correlation between TYP and age is r= 0.021. Summary smtistics for the two variables are in the following table. 1400 Mean I SD '57 Age 28.254 yrs 8.601 yrs 3 700 Total Yearly Purchase $578358 $244.676 1% a) What is the linear regression equation for predicting Total Yearly Purchase from age? T? = + ( Age (Round the nal answer to three decimal places as needed. Round all intermediate values to three decimal places as needed.) b) Do the assumptions and conditions for regression appear to be met? 0 No 0 Yes 0) What is the predicted average Tomi Yearly Purchase for a 27-year-old? $ (Round to two decimal places as needed.) For a 51-year-old? $ (Round to two decimal places as needed.)