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A 1 b 2 c 25 d 4 25 multicollinearity between

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Unformatted text preview: ere is significant positive autocorrelation. B. There is significant negative autocorrelation. C. There is significant autocorrelation but it cannot be identified whether it is positive or negative. D. The test results are inconclusive. 40. If the Durbin-Watson statistic is greater than (4 - dL), then it is concluded that A. There is significant positive autocorrelation. B. There is significant negative autocorrelation. C. There is significant autocorrelation but it cannot be identified whether it is positive or negative. D. The test result is inconclusive. 41. In regression analysis the _________ is used to identify outliers with respect to their x values and ________ is used to identify outliers with respect to their y values. A. Leverage value, Durbin-Watson statistic B. Leverage value, residuals C. Residuals, standardized residuals D. Durbin-Watson statistic, residuals E. Variance Inflation Factor, Leverage value 1-1455 Chapter 01 - An Introduction to Business Statistics 42. Which one of the following is not a tool used to identify multicollinearity? A. Variance Inflation Factor B. Correlation matrix C. Studentized residuals D. Scatter plots that show the scatter plots for all combinations of variables in the regression model 43. In multiple regression analysis an outlier observation is ____________ influential. A. Always B. Sometimes C. Never 44. In residual analysis, as the value of the leverage _____________, the value of the studentized residual _____________. A. Decreases, increases B. Increases, decreases C. Decreases, decreases D. None of the above 45. In a multiple regression model, as a result of adding a new independent variable, as s ___________, the length of the prediction interval for y will _________. A. Increases, always increase B. Decreases, sometimes decrease C. Increases, never increase D. Decreases, always increase E. Increases, always decrease 46. Given the regression model y = β0 + β1X1 + β2X2 + β3X12 + β4X22 + ε, if we wish to test the significance of higher order terms, (X12 and X22) we would use the following test. A. Overall F test B. Durbin-Watson test C. Partial F test D. t test E. Cook's distance measure 1-1456 Chapter 01 - An Introduction to Business Statistics 47. Given the regression model y = β0 + β1X1 + β2X2 + β3X12 + β4X22 + ε, if we wish to test the significance of the independent variable X2, the appropriate null hypothesis is: A. H0: X2 = 0 B. H0: β2 ≠ 0 C. H0: β2 ≠ X2 D. H0: β2 = 0 E. H0: β2 - X2 = 0 48. In multiple regression analysis which of the following can be used to identify multicollinearity? A. The VIF B. The correlation matrix C. The standard error of estimate D. Both A and B E. All of the above 49. _________ regression method is used when the response variable is a qualitative or a categorical variable. A. Quadratic B. Logistics C. Multiple D. Simple 50. When the quadratic regression model y = β0 + β1x + β2x2 + ε is used, the term _____ shows the rate of curvature of the parabola. A . β1 B. β2 C. β0 1-1457 Chapter 01 - An Introduction to Business Statistics 51. In the quadratic regression model y = β0 + β1x + β2x2 + ε, if the term β2 is greater than zero, then the parabola opens __________. A. Up B. Down C. To the left D. To the right 52. In the quadratic regression model y = β0 + β1x + β2x2 + ε, if the value of the term β1 increases, then the parabola shifts _________. A. Left B. Right C. Up D. Down 53. A(n) _____ observation is an observation that causes the least squares point estimates to be substantially different from what they would be if the observation were removed from the data. A. Outlier B. Dummy C. Influential D. Quadratic 54. If the simple correlation coefficient between two independent variables is greater than .90, then ______________________ is considered to be severe. A. autocorrelation B. interaction C. multicollinearity D. coefficient of determination 1-1458 Chapter 01 - An Introduction to Business Statistics 55. The _____ procedure works the same way as the stepwise regression procedure except that once an independent variable is eliminated from the model, it is never returned to the model. A. logistic B. stepwise C. quadratic D. backward 56. The primary use of stepwise regression is to identify the most important ___________ that should be included in the multiple regression model. A. independent variables B. dependent variables C. dummy variables D. quadratic variables 57. An overall measure of the difference between the least squares point estimates calculated using observation i, and the least squares point estimates calculated without using observation i is called the ____________ measure. A. Durbin-Watson B. Cook's distance C. R2 D. C 58. When independent variables in a regression model are related to, or dependent on each other, then there exists _____ among the independent variables. A. Multicollinearity B. Autocorrelation C. Independence D. Probability 1-1459 Chapter 01 - An Introduction to...
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