IDS 371

Question 1 True or False: Multicollinearity is a situation where you have NO interference among the explanatory variables for regression Selected Answer: False Answers: True False Question 2 If you have variables that are multicollinear in your regression model they are more likely to be statistically significant Selected Answer: False Answers: True False Question 3 If you have multicollinearity then the global F­test will be less likely to be statistically significant compared to...

Question 1 According the box plots, the 75th percentile for taste is approximately Selected Answer: 37 Answers: 15 20 37 None of the above Question 2 The relevant conclusion from the Normal QQ Plots is Selected Answer: All of the variables are roughly normal Answers: All of the variables are roughly normal None of the variales are roughly normal All of the variables are symmetric All of the variables go from lower left to upper right Question 3 From the box­plots, the most symmet...

Question 1 To interpret the slope of multiple explanatory variables after removing the affect of scale we use Selected Answer: Standardized coefficients Answers: Unstandardized coefficients Standardized coefficients The p­value Question 2 In the example, why did it appear that high school english had greater impact on GPA for freshman computer science students vs. SATM Selected Answer: Both answers are correct Answers: The scale for high school english was much smaller The scale for...

Question 1 10 out of 10 points Note: questions 1 through 5 are for the Buttered Toast test. For the Buttered Toast test for men and women, what are Ho and Ha Selected Answer: Ho: mu(women) = mu(men); Ha: mu(women) > mu(men) Answers: Ho: mu(women) = mu(men); Ha: mu(women) < mu(men) Ho: mu(women) = mu(men); Ha: mu(women) > mu(men) Ho: mu(women) = mu(men); Ha: mu(women) not = mu(men)  Question 2 10 out of 10 points For the Buttered Toast test for men and women the results...