- #1
RobosaurusRex
- 29
- 1
I am aware that f-tests can be used to check the null hypothesis when comparing regression models if the models are nested.
What I am confused about is if I can apply an f-test to compare the following, (and if so what is the best way)
I have two regression laws
Y = a1*X1 + a2*X2 + b
Y = a3*X1 + a4*X2 + b
Is the best way to test these quantitatively to compare each in turn against the reduced model Y = b
or can I compare them against one another directly by using the f-test?
What I am confused about is if I can apply an f-test to compare the following, (and if so what is the best way)
I have two regression laws
Y = a1*X1 + a2*X2 + b
Y = a3*X1 + a4*X2 + b
Is the best way to test these quantitatively to compare each in turn against the reduced model Y = b
or can I compare them against one another directly by using the f-test?