When we reject the null hypothesis of a partial f-test, then we conclude that a. at least one of the eliminated variables is significant. therefore we should use the reduced model. b. at least one of the eliminated variables is significant. therefore we should use the full model. c. the eliminated variables are jointly not significant. therefore we should use the reduced model. d. the eliminated variables are all significant. therefore we should use the full model.

C. the eliminated variables are jointly not significant. Therefore we should use the reduced model.

Step-by-step explanation:

If the partial F test shows that a group of variables is significant, it does not imply that each variable in this group is significant. Some of these variables can have low t -values (and consequently, large P -values).

answer: the answer is one

step-by-step explanation:

pemdas, in this situation there is no parenthesis or exponents so you go to multiplication, 1x1=1, then division 1/1= 1 then addition 1+1=2 then subtraction 2-1=1