The director of the Northern Tennessee Association of Local Governments is conducting a study on differences in average property taxes (in thousands of dollars) that residents in 15 local communities pay on their homes. The director believes that variations in property taxes are a function of two variables: the number of government employees on staff in each city (EMPLOYEES) and city size, measured in square miles (SIZE). The director uses SPSS to generate the following regression, where the average property tax per residence is the dependent variable.

(a) Interpret the intercept, slopes, and R2 values.
(b) Interpret the standardized coefficients. Explain how the standardized coefficients differ in magnitude from the unstandardized coefficients.

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Model Summary R2 .967 Std. Error of the Estimate Adj. R2 961 Model 983 112.85532 'Predictors: (Constant), SIZE, EXPLOYEES. ANOVA Model Sum of Squares df Mean Square F Significance Regression 4,421,115.713 Residual Total 152,835.887 1 4,573,951.600 14 2 2,210,557.857 173.563 000 12 12736.324 Predictors: (Constant), SIZE EMPLOYEES bDependent variable: PTAX. Coefficientsa Unstandardized Coefficients Standardized Coefficients Model Std. Beta Significance (Constant) 938.736 Employees Size 8.225 47.532 336.866 2.631 19.794 2.787 564 3.126 430 2.380 .016 009 .035 Dependent variable: PTAX.