A psychologist studying perceived “quality of life” in a large number of cities (N = 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.

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= 5.37 -0.01 Temp + 0.05 Income + 0.003SocSer - 0.01Popul a) Interpret the above regression equation in terms of the coefficients. b) Assume a city has a mean temperature of 55 degrees, has 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 is identical in every way except that it spends $100 per capita on social services?