Do you mean an extraneous solution? I will tell you what I think. To tell if a solution is extraneous you need to go back to the original problem and check if there actually is a solution or if the solution is actually right. If not then it is extraneous.
Answer:
c) is true
Step-by-step explanation:
Given are four statements. Let us check one by one
a) If the calculated value of F statistic is higher than the critical value, we reject the alternative hypothesis in favor of the null hypothesis
False, we reject H0 in favour or alternate
b) The F statistic is always nonnegative as SSRr is never smaller than SSRur.
F statistics is non negative but reason is bot SSRr and SSRur are positive
Not because SSRr is never smaller than SSRur
c) Degrees of freedom of a restricted model is always less than the degrees of freedom of an unrestricted model.
This is true because in a restricted we put constraints thus df will be less
d) The F statistic is more flexible than the t statistic to test a hypothesis with a single restriction.
False. F statistic is for testing variances while t statistic for means.
Answer:
6(2-6v)>96
Step-by-step explanation:
step 1: distributive property
12-36v>-96
step 2: add like terms
12-36v>-96
(subtract 12 from both sides.)
-36v>-96-12
-36>-108
step 3: divide by coefficient which is -36
-36v/-36>-108/-36
v<3
(sign flips bc u r dividing by negative.)
Hope this helps :)
