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Question: An online clothing retailer examined their

An online clothing retailer examined their transactional database to see if total yearly Purchases ($) were related to customers’ Incomes ($). (You may assume that the assumptions and conditions for regression are met.) The least squares linear regression is:
An online clothing retailer examined their transactional database to see if total yearly Purchases ($) were related to customers’ Incomes ($). (You may assume that the assumptions and conditions for regression are met.)
The least squares linear regression is:


a) Interpret the intercept in the linear model.
b) Interpret the slope in the linear model.
c) If a customer has an Income of $20,000, what is his predicted total yearly Purchases?
d) This customer’s yearly Purchases were actually $100. What is the residual using this linear model? Did the model provide an underestimate or overestimate for this customer?

a) Interpret the intercept in the linear model. b) Interpret the slope in the linear model. c) If a customer has an Income of $20,000, what is his predicted total yearly Purchases? d) This customer’s yearly Purchases were actually $100. What is the residual using this linear model? Did the model provide an underestimate or overestimate for this customer?





Transcribed Image Text:

Purchases = -31.6 + 0.012 Income. %3D


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