Consider the 'estandar' output of R that I copied from Anova from R output interpretation and added other variables.
Why there are two p-values? One from Summary
F-statistic: 9.24 on 1 and 118 DF, p-value: 0.0001851
and others from ANOVA 6.241e-07***,0.08837,0.47480
?
Residuals:
Min 1Q Median 3Q Max
-2.74004 -0.33827 0.04062 0.44064 1.22737
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) 2.11405 0.32089 6.588 1.3e-09 ***
V2 0.03883 0.01277 3.040 0.00292 **
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Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
Residual standard error: 0.6231 on 118 degrees of freedom
Multiple R-squared: 0.07262, Adjusted R-squared: 0.06476
F-statistic: 9.24 on 1 and 118 DF, p-value: 0.0001851
> anova(fit)
Analysis of Variance Table
Response: V1
Df Sum Sq Mean Sq F value Pr(>F)
V2 1 3.588 3.5878 9.2402
6.241e-07***
V3 1 4 4 5.0889
0.08837
V4 1 3 3 5.7637
0.47480
....(here are more variables)
Residuals 118 45.818 0.3883
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Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1