I have this output from R that I'm trying to understand.
I would gladly appreciate any help!
Model 1: y ~ x + w + x:w Model 2: y ~ x + w Res.Df RSS Df Sum of Sq F Pr(>F) 1 40 13452999 2 41 14759878 -1 -1306879 3.8858 0.05564 .
I should add that I'm a novice at using R and from what I can see:
Can a df be negative ?
Why would my $F$ and be on the last line?
Is it technically correct if I say that my $p$-val$= 0.05564$
The above R code gives me nothing coherent.
This is a test to assert the importance of $\beta_3$ in the model