Hi,
After reading Quants, I got confused about df. If I have the following examples, why df is 22? df = N-k-1
_ ANOVA _
df
SS
MS
F
Regression
1
92.53009
92.53009
28.09117
Residual
22
72.46625
3.293921
Total
23
164.9963
Hi,
After reading Quants, I got confused about df. If I have the following examples, why df is 22? df = N-k-1
_ ANOVA _
df
SS
MS
F
Regression
1
92.53009
92.53009
28.09117
Residual
22
72.46625
3.293921
Total
23
164.9963
n=24, k=1?
Exactly: the df for var(y) is 23=n-1; the df for var(error) is 22=n-k-1; the df for var(explained/regression) is 1=k .
Thanks. Got it know. No idea why I was confused with this simple question.