# One assumption for simple linear regression is that

• Test Prep
• 6
• 100% (15) 15 out of 15 people found this document helpful

This preview shows page 5 - 6 out of 6 pages.

One assumption for simple linear regression is that the epsilons are normally distributed with constant variance. Power is equal to 1 , where is the probability of a Type I error .
The level of significance associated with a significance test is the probability of committing a Type I error.
A statistical hypothesis test is always conducted under the assumption that the alternative
hypothesis is true.
Problem 4 (15 points total, 3 points each): Answer the following multiple choice questions by circling the letter with the correct response: a) We have created a 95% confidence interval for with the result (10 < < 15). What conclusion will we make if we test 1 : 16 vs. : 16 at 0.05 H H 0 ? H . H . .
b) The value that separates a rejection region from an acceptance region is called a __________. A. parameter B. confidence coefficient C. significance level D. critical value
c) A hypothesis test is used to prevent a machine from under-filling or overfilling quart bottles of beer. On the basis of a sample, the null hypothesis is rejected and the machine is shut down for inspection. A thorough examination reveals there is nothing wrong with the filling machine. From a statistical point of view:
d) The larger the P -value, the
e) We never conclude “Accept 0 H ” in a test of hypothesis because _____________.
6