1-20chapter stats

7 the computer output also shows that mse is equal to

Info iconThis preview shows page 1. Sign up to view the full content.

View Full Document Right Arrow Icon
This is the end of the preview. Sign up to access the rest of the document.

Unformatted text preview: ive Thinking Bloom's: Knowledge Difficulty: Medium Learning Objective: 6 Topic: Outliers & Influential Observations 7. Cook's distance is a way to determine whether an observation is influential. TRUE AACSB: Reflective Thinking Bloom's: Knowledge Difficulty: Medium Learning Objective: 6 Topic: Outliers & Influential Observations 8. An independent variable dropped during an iteration of the backward elimination process may be added back to the regression model during a later iteration of the process. FALSE AACSB: Reflective Thinking Bloom's: Knowledge Difficulty: Medium Learning Objective: 5 Topic: Model Building 1-1478 Chapter 01 - An Introduction to Business Statistics 9. In comparing regression models, the regression model with the largest R2 will also have the smallest standard error(s). FALSE AACSB: Reflective Thinking Bloom's: Knowledge Difficulty: Medium Learning Objective: 5 Topic: Model Building 10. Multicollinearity hinders the regression model's ability to predict the dependent variable on the basis of a combination of values of the independent variable in the experimental region. FALSE AACSB: Reflective Thinking Bloom's: Knowledge Difficulty: Hard Learning Objective: 4 Topic: Multicollinearity 11. In a multiple regression mode if the largest VIF is 21.6, then it can be concluded that there are indications of multicollinearity. TRUE AACSB: Reflective Thinking Bloom's: Knowledge Difficulty: Medium Learning Objective: 4 Topic: Multicollinearity 12. In multiple regression analysis, if the simple correlation coefficient between the dependent variable and one of the independent variables is .95, then this indicates that the problem of multicollinearity exists. FALSE AACSB: Reflective Thinking Bloom's: Knowledge Difficulty: Easy Learning Objective: 4 Topic: Multicollinearity 1-1479 Chapter 01 - An Introduction to Business Statistics 13. When there are indications of autocorrelation, first an investigation should be conducted to determine whether one or more independent variables that might explain the autocorrelation have been omitted from the model. TRUE AACSB: Reflective Thinking Bloom's: Knowledge Difficulty: Easy Learning Objective: 8 Topic: Autocorrelation 14. If a particular multiple regression model has a small value of the C statistic and C for this model is less than k + 1, where k is the number of independent variables in the model, then the model should be considered biased and therefore undesirable. FALSE AACSB: Reflective Thinking Bloom's: Knowledge Difficulty: Medium Learning Objective: 5 Topic: Model Building Multiple Choice Questions 15. The general form of the quadratic multiple regression models is: A. y = 1X1 + 2X2 + B. y = 0 + 1X1 + 2X2 + C. y = 0 + X+ D. y = 0 + E. y = 0 + 1 X2 + 1 1 2 X2 + X1 + X22 + 2 AACSB: Reflective Thinking Bloom's: Knowledge Difficulty: Medium Learning Objective: 1 Topic: Quadratic 1-1480 Chapter 01 - An Introduction to Business Statistics 16. As we increase the number of independent variables in a multiple regression model, the F statistic will _____ increase. A. Always B. Sometimes C. Never AACSB: Reflective Thinking Bloom's: Knowledge Difficulty: Hard Learning Objective: 5 Topic: Model Building 17. In the quadratic regression model zero, then the parabola opens __________. A. Less than, upward B. Greater than, upward C. Greater than, either upward or downward D. Less than, either upward or downward E. Equal to, downward if the term 2 is ______ AACSB: Reflective Thinking Bloom's: Knowledge Difficulty: Hard Learning Objective: 1 Topic: Quadratic 18. In the quadratic regression model the: A. Rate of curvature of the parabola. B. Value of Y when X is zero. C. Shift parameter of the parabola. D. Y-intercept of the parabola. the AACSB: Reflective Thinking Bloom's: Knowledge Difficulty: Medium Learning Objective: 1 Topic: Quadratic 1-1481 1 term represents Chapter 01 - An Introduction to Business Statistics 19. In the quadratic regression model the: A. Rate of curvature of the parabola. B. Value of Y when X is zero. C. Shift parameter of the parabola. D. Y-intercept of the parabola. , the v2 term represents AACSB: Reflective Thinking Bloom's: Knowledge Difficulty: Medium Learning Objective: 1 Topic: Quadratic 20. The graph of the prediction equation obtained from the model is a(n) A. Line B. Plane C. Parabola D. Exponential curve AACSB: Reflective Thinking Bloom's: Knowledge Difficulty: Medium Learning Objective: 1 Topic: Quadratic 21. Adding any independent variable to a regression model will increase A. Adjusted R2 or B. s C. MSE D. R2 E. The length of all prediction intervals AACSB: Reflective Thinking Bloom's: Knowledge Difficulty: Medium Learning Objective: 5 Topic: Model Building 1-1482 Chapter 01 - An Introduction to Business Statistics 22. If a regression model with k independent variables has a C statistic less than _______, then the model is considered to be desirable. A. k + 1 B. k C. k-1 D. 1/k E. k-2 AACSB: Reflective Thinking Bloom's: Knowledge Difficulty: Hard Learning Objective: 5 Topic:...
View Full Document

Ask a homework question - tutors are online