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In multiple regression analysis a desirable residual

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Unformatted text preview: cator variables typically are values of zero or one, and are used to model the effects of different levels of _____ variables. A. Qualitative B. Quantitative C. Ratio D. Measured AACSB: Reflective Thinking Bloom's: Comprehension Difficulty: Medium Learning Objective: 7 Topic: Dummy variables 1-1381 Chapter 01 - An Introduction to Business Statistics 49. The _____ term describes the effects on y of all factors other than the independent variables in a multiple regression model. A. Dependent B. t-test C. Error D. Dummy AACSB: Reflective Thinking Bloom's: Comprehension Difficulty: Medium Learning Objective: 1 Topic: Multiple regression model 50. The y intercept (β0) in a multiple regression model represents the estimated value of the ________ variable, when the value of all independent variables is/are _______. A. Response, one B. Dummy, zero C. Response, zero D. Dummy, one AACSB: Reflective Thinking Bloom's: Comprehension Difficulty: Medium Learning Objective: 1 Topic: Multiple regression model 51. The difference between the observed values of y and the predicted value of y is referred to as a/an _____. A. Dependent variable B. Predicted value C. Residual D. Explained variation AACSB: Reflective Thinking Bloom's: Comprehension Difficulty: Medium Learning Objective: 9 Topic: Residual analysis 1-1382 Chapter 01 - An Introduction to Business Statistics 52. The effects of different levels of qualitative independent variables are described using _____ variables. A. Dependent B. Response C. Dummy D. Quantitative AACSB: Reflective Thinking Bloom's: Comprehension Difficulty: Medium Learning Objective: 7 Topic: Dummy variables 53. The range of the previously observed combinations of values of the independent variables is referred to as the _____. A. Area under the normal curve B. Residual C. Experimental region D. Correlation coefficient AACSB: Reflective Thinking Bloom's: Comprehension Difficulty: Medium Learning Objective: 1 Topic: Multiple regression model 54. Dummy variables take on the values of ______ and are used to model the effects of different levels of qualitative variables. A. 1 or -1 B. 1 or 2 C. 0 or 2 D. 0 or 1 AACSB: Reflective Thinking Bloom's: Comprehension Difficulty: Medium Learning Objective: 1 Topic: Dummy variables 1-1383 Chapter 01 - An Introduction to Business Statistics 55. Consider the following partial computer output for a multiple regression model. The calculated value of the t statistic for X1 is ________. A. 2.325 B. -2.325 C. 0.4301 D. -0.4301 AACSB: Analytic Bloom's: Application Difficulty: Medium Learning Objective: 5 Topic: Significance of an independent variable 56. In a multiple regression model, the explained sum of squares divided by the total sum of squares yields the ___________. A. F model B. t statistic C. R D. R2 AACSB: Reflective Thinking Bloom's: Comprehension Difficulty: Medium Learning Objective: 3 Topic: Coefficient of determination 1-1384 Chapter 01 - An Introduction to Business Statistics 57. In a multiple regression model, a point estimate of σ2 is called the ________________ error. A. standard B. regression C. mean square D. multiple regression AACSB: Reflective Thinking Bloom's: Comprehension Difficulty: Medium Learning Objective: 2 Topic: Multiple regression model 58. In a multiple regression analysis, if the normal probability plot is a ____________, then it can be concluded that the assumption of normality is not violated. A. Normal curve B. Straight line C. Parabola D. Curved line AACSB: Reflective Thinking Bloom's: Comprehension Difficulty: Medium Learning Objective: 9 Topic: Multiple regression model assumptions 59. Plotting the residuals in a time-ordered sequence will reveal possible violations of the __________ of error terms assumption. A. Normality B. Independence C. Constant variation D. Residual sum AACSB: Reflective Thinking Bloom's: Comprehension Difficulty: Medium Learning Objective: 9 Topic: Residual analysis 1-1385 Chapter 01 - An Introduction to Business Statistics 60. In a multiple regression model the residuals were plotted against the values of one of the independent variables. The plot exhibited a funneling out pattern of residuals. This means that as the value of the independent variable increases, the error terms tend to ________ and the model assumption of ________ is violated. A. increase, constant variance B. increase, independence C. decrease, constant variance D. decrease, normality AACSB: Reflective Thinking Bloom's: Comprehension Difficulty: Hard Learning Objective: 9 Topic: Multiple regression model assumptions 61. A(n) ________ plot is a residual plot that is used for the purpose of checking the normality assumption of the multiple regression model. A. Straight line B. Normal C. Scatter D. Quadratic AACSB: Reflective Thinking Bloom's: Comprehension Difficulty: Easy Learning Objective: 9 Topic: Residual analysis 62. Assumptions of a regression model can be evaluated by plotting and analyzing the _________. A. independent variables B. dependent variables C. error terms D...
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This document was uploaded on 01/20/2014.

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