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.
No se puede simplificar ya. ✅
The answer is a because the original is 100% of their jump. Then you would add the extra 10% so it would equal 110%
Please thank me
Reasonings
are divided into three categories: (1) inductive, (2) deductive, and (3) causal
reasoning. The type of reasoning that is depicted in the given above is
inductive reasoning. This is because Kim was able to derive to a conclusion by
citation of different examples. Among the three categories, inductive reasoning
is the most commonly used.
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