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Multiple Regression

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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.

Y= 5.37-0.01Temp+ 0.05Income + 0.003SocSer- 0.01Popul

A) Interpret the above regression equation in terms of the coefficient.
B) Assume a city has a mean temperature of 55 degrees, a median income of $12000, spends $500 per capita on social services, and has a population density of 200 people per block. What is it's 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.

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This solution helps explore concepts related to multiple regression and quality of life within the context of different cities with difference variables.

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(A) Equality of life score decreases by 0.01 for every 1 degree rise in the mean temperature, increases by 0.05 for ...

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