An online clothing retailer keeps track of its customers' purchases. For those customers who signed up for

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An online clothing retailer keeps track of its customers' purchases. For those customers who signed up for the company's credit card, the company also has information on the customer's Age and Income. A random sample of 500 of these customers shows the following scatterplot of Total Yearly Purchases by Age:
An online clothing retailer keeps track of its customers' purchases.

The correlation between Total Yearly Purchases and Age is r = 0.037. Summary statistics for the two variables are:

An online clothing retailer keeps track of its customers' purchases.

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.

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Stats Data And Models

ISBN: 662

4th Edition

Authors: Richard D. De Veaux, Paul D. Velleman, David E. Bock

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