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1. How does multicollinearity manifest itself in a regression situation?
2. Explain what is meant by perfect collinearity. What happens when perfect collinearity is present?
3. Is it true that the regression equation can never be used adequately for pre- diction purposes if multicollinearity exists? Explain.
4. In a regression of Y on the two explanatory variables X1 and X 2, the F ratio was found not to be signi?cant. Neither t ratio was found to be signi?cant, and R2 was found to be 0.12. Do you believe that multicollinearity is a problem here? Explain.
A sample of 100 orders revealed that 82 were delivered within the promised time. At the .10 significance level, can we conclude that less than 90 percent of the orders are delivered in less than 10 minutes?
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(a) Determine the test statistic. Show all work; writing the correct test statistic, without supporting work, will receive no credit.(b) Determine the P-value for this test. Show all work; writing the correct P-value, without supporting work, wi..
What is the probability that a diner is an undergraduate and has bought a meal and what is the probability that someone who has bought a meal is a postgraduate?
In addition, is it a problem that the number of men and women in the sample is different? Why or why not? Note: This is a two sample test for proportion, please use the following guidelines
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