I need to construct an ANOVA table by hand using this information. i think the total df is 225, but I'm not sure how to find the rest of the values for the table
> summary(lm(homicide~year+fahrenheit))
Call:
lm(formula = homicide ~ year + fahrenheit)
Residuals:
Min 1Q Median 3Q Max
-31.298 -10.185 -0.804 8.423 55.262
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) -3922.1684 337.3552 -11.626 < 2e-16 ***
year 1.9844 0.1700 11.670 < 2e-16 ***
fahrenheit 0.8441 0.1798 4.695 4.64e-06 ***
---
Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
Residual standard error: 14.06 on 225 degrees of freedom
Multiple R-squared: 0.416, Adjusted R-squared: 0.4108
F-statistic: 80.14 on 2 and 225 DF, p-value: < 2.2e-16
> vcov(lm(homicide~year+fahrenheit))
(Intercept) year fahrenheit
(Intercept) 113808.511043 -5.733256e+01 -0.9428619539
year -57.332561 2.891534e-02 -0.0005588921
fahrenheit -0.942862 -5.588921e-04 0.0323255678
Best Answer
You can get the full ANOVA table using the
anova
function, like this:anova(lm(mpg ~ hp + wt, data = mtcars))
The resulting table looks like this:
The total DF is the sum of the values in the DF column; in your case, that would probably be 227 (one for each predictor variable, 225 for the residuals).