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# In the quadratic regression model y 0 1x 2x2 if the

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Unformatted text preview: Difficulty: Medium Learning Objective: 4 Topic: Multicollinearity 1-1496 Chapter 01 - An Introduction to Business Statistics 64. ___________ is an iterative variable selection procedure that allows an independent variable to be added to a multiple regression model in one iteration and deleted during the next iteration? A. Logistic regression B. Stepwise regression C. Quadratic regression D. Backward regression AACSB: Reflective Thinking Bloom's: Knowledge Difficulty: Hard Learning Objective: 5 Topic: Model Building 65. Stepwise regression uses a series of _____ tests during each iteration in order to determine which independent variables should be brought into the regression model. A. C B. F C. t D. VIF AACSB: Reflective Thinking Bloom's: Knowledge Difficulty: Hard Learning Objective: 5 Topic: Model Building 66. When using a multiple linear regression model, data transformations on the dependent variable may be used in order to correct a violation of a(n) __________ of the multiple linear regression model. A. assumption B. independent variables C. autocorrelation D. normality AACSB: Reflective Thinking Bloom's: Knowledge Difficulty: Medium Learning Objective: 7 Topic: Data Transformation 1-1497 Chapter 01 - An Introduction to Business Statistics 67. The _____________ statistic is used to test for autocorrelation among the residuals. A. Cook's distance B. C C. Durbin-Watson D. R2 AACSB: Reflective Thinking Bloom's: Knowledge Difficulty: Medium Learning Objective: 8 Topic: Autocorrelation 68. When the assumption of __________ - residuals (error terms) is violated, the DurbinWatson statistic is used to test to determine if there is significant _____________ among the residuals. A. normality, probability B. independent, probability C. independent, autocorrelation D. normality, autocorrelation AACSB: Reflective Thinking Bloom's: Knowledge Difficulty: Medium Learning Objective: 8 Topic: Autocorrelation 69. If the absolute value of the ______________ is greater than t.005, then there is strong evidence that the observation is an outlier with respect to its y value. A. Cook's distance B. C statistic C. F D. studentized deleted residual AACSB: Reflective Thinking Bloom's: Knowledge Difficulty: Medium Learning Objective: 6 Topic: Outliers & Influential Observations 1-1498 Chapter 01 - An Introduction to Business Statistics 70. In a regression model a(n) ______ is an observation that is well separated from the rest of the data with respect to its y value and/or its x values. A. Outlier B. Influential C. Independent D. Dependent AACSB: Reflective Thinking Bloom's: Knowledge Difficulty: Easy Learning Objective: 6 Topic: Outliers & Influential Observations 71. In converting the residual to a studentized (standardized) residual for a given observation, the residual for the observation is divided by the residual's __________. A. sample size B. t value C. standard error D. square AACSB: Reflective Thinking Bloom's: Knowledge Difficulty: Hard Learning Objective: 6 Topic: Outliers & Influential Observations 72. If successive values of the residuals are close together, then there is a(n) ___________ autocorrelation, and the value of the Durbin-Watson statistic is _________. A. negative, large B. positive, small C. negative, small D. positive, large AACSB: Reflective Thinking Bloom's: Knowledge Difficulty: Hard Learning Objective: 8 Topic: Autocorrelation 1-1499 Chapter 01 - An Introduction to Business Statistics 73. If a multiple regression model has a(n) _____ statistic substantially greater than k + 1, then it can be shown that this model has substantial bias and is undesirable. A. C B. F C. Cook's distance D. Durbin-Watson AACSB: Reflective Thinking Bloom's: Knowledge Difficulty: Medium Learning Objective: 5 Topic: Model Building 74. In general, a multiple regression model is considered to be desirable if the value of the C statistic is small and the value of C is less than _____. A. k B. k - 1 C. k + 1 D. n - k AACSB: Reflective Thinking Bloom's: Knowledge Difficulty: Hard Learning Objective: 5 Topic: Model Building 1-1500 Chapter 01 - An Introduction to Business Statistics Essay Questions 75. Below is a partial multiple regression computer output based on a quadratic regression model. Determine the number of observations in the sample, explained variation and the MSE. 18, 29.44, 3.997 AACSB: Analytical Skills Bloom's: Application Difficulty: Medium Learning Objective: 1 Topic: Quadratic 1-1501 Chapter 01 - An Introduction to Business Statistics 76. Below is a partial multiple regression computer output based on a quadratic regression model. Calculate R2. .3293 AACSB: Analytical Skills Bloom's: Application Difficulty: Medium Learning Objective: 1 Topic: Quadratic 1-1502 Chapter 01 - An Introduction to Business Statistics 77. Below is a partial multiple regression computer output based on a quadratic regression model. Test the overall usefulness of the model at α = .05. Calculate the F statistic and make your de...
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