Answer:
nothing there
Step-by-step explanation:
help with what
Answer:
130,000 to 250,000
Step-by-step explanation:
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.
You need to use the distributive property. So you take the -9 from outside the parentheses and multiply itself by the numbers inside.
The answer is A
Step-by-step explanation:
The solution and explanation is pinned
