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This is for a homework that I'm supposed to do in SAS, but doing in R instead.

I want to perform an F-test for $H_0: \beta_i = 0$ for all $\beta_i$, all slopes equal to 0.

I have a linear model lm(salary ~ quality + experience + success) and can manually compute the F statistic from the ANOVA table and perform the test.

Is there a simpler way to do the F-test?

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Aren't the F-statistic and its p-value reported on the last line of summary(lm(...))? – whuber♦ Dec 14 '12 at 21:38
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you may also want to investigate the use of the anova function, which works on objects that lm returns... – Glen_b Dec 14 '12 at 21:56
@whuber You're right. Thanks. – brianto Dec 14 '12 at 22:58

closed as too localized by whuber♦ Dec 14 '12 at 23:40

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