Question: John Howard, a mobile, Alabama, real estate developer, has devised a regression model to help determine residential housing prices in South Alabama. The model was

John Howard, a mobile, Alabama, real estate developer, has devised a regression model to help determine residential housing prices in South Alabama. The model was developed using recent sales in a particular neighborhood. The price (Y) of the house is based on the size (square footage=X) of the house. The model is:

Y= 13,473 +37.65x

The coefficient of correlation for the model is 0.63

a) Use the model to predict the selling price of a house that is 1,860 square feet

b) An 1.860 square foot house recently sold for $95,000. Explain why this is not what the model predicted?

c) If you were going to use multiple regressions to develop such a model, what other quantitative variables might you include?

d) What is the value of the coefficient of determination in this problem?

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a Y 13473 37651860 83502 b The predicted selling price is 83502 but ... View full answer

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