Question

1. In order to test whether the multiple linear regression model y bo +b,x1 + b2X2 is better than the average model (lazy model), which of the following null hypotheses is correct: a. Ho' b1 = b2 = 0 Но: B1 B2-0 с. We have a dataset Company with three variables: Sales, employees and stores. To build a multiple linear regression model using Sales as dependent variable, number of stores and number of employees as independent variables, which of the following R commands is not correct: a. Im(Company$Sales, data Company) b. Im(Sales., data Company) c. Im(Company$Sales Company$employees+ Company$stores) d. Im(Sales employees +stores, data Company) 2. Which of the following statements regarding R2 and adjusted R2 is correct: a. Normally, R2 is more useful than adjusted R2 in comparing multiple linear regression 3. models; adjusted R2 is generally larger than R2 adjusted R2 includes the degrees of freedom in the equation We want R2 and adjusted R2 the smaller, the better b. c. d. The null hypothesis for the Chi-Square test of independence should be: a. b. c. d. 4. The two categorical variables are identical The two categorical variables are not identical The two categorical variables are independent The two categorical variables are not independent

Answer 1

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