Refer to Exercise 15.1. Assume that
[0.397 0.252 0.052 0.025] Which, if any, predictor would you be most likely to drop if you wanted to refine your regression equation?
A psychologist studying perceived “quality of life” in a large number of cities (N 5 150) came up with the following equation using mean temperature (Temp), median income in $1000 (Income), per capita expenditure on social services (Socser), and population density (Popul) as predictors.
a. Interpret the regression equation in terms of the coefficients.
b. Assume there is a city that has a mean temperature of 55 degrees, a median income of $12,000, spends $500 per capita on social services, and has a population density of 200 people per block. What is its predicted quality of life score?
c. What would we predict in a different city that was identical in every way except that it spent $100 per capita on social services?
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