1-20chapter stats

62090 analysis of variance additional information

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: 0. The graph of the prediction equation obtained from the model is a(n) A. Line B. Plane C. Parabola D. Exponential curve 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 1-1450 1 term represents 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 23. A leverage value is considered to be large if it is substantially greater than A. .5 times the average leverage value B. 1.5 times the average leverage value C. 2.0 times the average leverage value D. 5.0 times the average leverage value E. 4.0 times the average leverage value 24. As rough rule of thumb, if the absolute value of the studentized residual for an observation is greater than ______, then it is concluded that there is some evidence that the observation is an outlier. A. 1 B. 2 C. 2.5 D. 4 25. Multicollinearity between independent variables is serious if the mean variance inflation factor is A. Substantially less than 1 B. Substantially greater than 1 C. Between - 1 and + 1 D. Less than .5 E. Substantially less than zero 1-1451 Chapter 01 - An Introduction to Business Statistics 26. Which one of the following procedures is not a variable selection method for multiple regression analysis? A. Backward elimination B. Stepwise regression C. Durbin-Watson test D. Maximum R2 improvement E. Best subset regression based on all possible combinations of multiple regression equations 27. All of the following are desirable outcomes for a multiple regression model except A. High R2 B. Small s C. Small C statistic D. Large Cook's distance measure E. Large F statistic 28. In using a regression model, if a new independent variable is added, the value of the R2 (coefficient of multiple determination) will ___________ decrease. A. Always B. Sometimes C. Never 29. What value of Durbin-Watson statistic indicates there is no autocorrelation present in a time ordered data? A. 1 B. -1 C. 2 D. -2 E. 0 1-1452 Chapter 01 - An Introduction to Business Statistics 30. As we increase the number of independent variables in a multiple regression model, the F statistic in the analysis of variance table for the multiple regression model will ________ increase. A. Always B. Sometimes C. Never 31. Dropping an independent variable from a multiple linear regression model will always result in A. An increase in the MSE value B. An increase in the R2 value C. A decrease in the R2 value D. A decrease in the MSE value 32. In a multiple regression analysis, the current model has three independent variables. The analyst decides to add another (fourth) independent variable while retaining the other three independent variables. As a result of this addition, the value of SSE will ____________ decrease. A. Always B. Sometimes C. Never 33. In a multiple regression analysis, the current model has three independent variables. The analyst decides to add another (fourth) independent variable while retaining the other three independent variables. As a result of this addition, the value of MSE will ____________ decrease. A. Always B. Sometimes C. Never 1-1453 Chapter 01 - An Introduction to Business Statistics 34. In a multiple regression analysis, the current model has three independent variables. The analyst decides to add another (fourth) independent variable while retaining the other three independent variables. As a result of this addition, the value of explained variation will ____________ decrease. A. Always B. Sometimes C. Never 35. In a multiple regression analysis, the current model has three independent variables. The analyst decides to add another (fourth) independent variable while retaining the other three independent variables. As a result of this addition, the value of adjusted R2 will ____________ decrease. A. Always B. Sometimes C. Never 36. Cook's distance measure is used in: A. Determining if there is significant first order auto-correlation. B. Identifying influential observations in multiple regression analysis. C. Determining the significance of an independent variable. D. Determining if there is significant multicollinearity. E. Determining if the overall regression model is significant. 37. A very insignificant independent variable (an independent variable that has a very weak relationship with the dependent variable) is added to a multiple regression equation. As a result of this change, the value of explained variation (SSR) will _________, the value of multiple coefficient of determination (R2) will _________, and the calculated value of the F statistic will most likely _________. A. Decrease, increase, decrease B. Increase, decrease, decrease C. Increase, increase, increase D. Increase, increase, decrease E. Decrease, decrease, decrease 1-1454 Chapter 01 - An Introduction to Business Statistics 38. The Durbin-Watson test statistic ranges from: A. -4 to 4 B. 0 to 4 C. 0 to 3 D. -1 to 1 E. 0 to 1 39. If the Durbin-Watson statistic is less than dL, then it is concluded that A. Th...
View Full Document

Ask a homework question - tutors are online