The normal error regression model is assumed to be applicable.
a)When testing $H_0:B_1=5$ vs $H_1:B_1\neq 5$ by means of a general linear test, what is the reduced model? What are the degrees of freedom $df_R$?
b)When testing $H_0:B_0=2,B_1=5$ vs $H_1:$not both $B_0=2,B_1=5$ by means of a general linear test, what is the reduced model? What are the degrees of fredom $df_R$?
The normal error regression model is $$Y_i=B_0+B_1X_i+\epsilon_i$$ where $\epsilon_i\sim N(0,\sigma^2)$ and the reduced model is $$Y_i=B_0+\epsilon_i$$
I know there is a difference in the degrees of freedom between the models, since the reduced model is estimated only one parameter, but I do not know essentially what the exercise is wanting.