Perform the following step to summarize linear model fits:

1. Compute a detailed summary of the fitted model:

        > summary(model)
        Output:
        Call:
        lm(formula = income ~ prestige + women)
        Residuals:
        Min 1Q Median 3Q Max 
        -7620.9 -1008.7 -240.4 873.1 14180.0
        Coefficients:
         Estimate Std. Error t value Pr(>|t|) 
        (Intercept) 431.574 807.630 0.534 0.594 
        prestige 165.875 14.988 11.067 < 2e-16 ***
        women -48.385 8.128 -5.953 4.02e-08 ***
        ---
        Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
        Residual standard error: 2573 on 99 degrees of freedom
        Multiple R-squared: 0.64, Adjusted R-squared: 0.6327 
        F-statistic: 87.98 on 2 and 99 DF, p-value: < 2.2e-16