Call:
lm(formula = rate ~ SAT + expense, data = graduation)
Residuals:
Min 1Q Median 3Q Max
-0.14465 -0.06894 -0.02070 0.06348 0.15207
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) -2.354e-01 1.991e-01 -1.183 0.2516
SAT 5.726e-04 2.303e-04 2.486 0.0224
expense 1.140e-05 4.326e-06 2.635 0.0163
Residual standard error: 0.09172 on 19 degrees of freedom
Multiple R-squared: 0.8269, Adjusted R-squared: 0.8086
F-statistic: 45.37 on 2 and 19 DF, p-value: 5.818e-08
12) (1 point) Include the R output of the model that you feel best satisfies the conditions.