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Unformatted text preview: st squares method) minimizes: A. The explained variation B. SSyy C. Total variation D. SSxx E. SSE AACSB: Reflective Thinking Bloom's: Knowledge Difficulty: Hard Learning Objective: 2 Topic: Simple Linear Regression 57. The coefficient of determination measures the ________ explained by the simple linear regression model. A. Correlation B. Proportion of variation C. Standard error D. Mean square error AACSB: Reflective Thinking Bloom's: Knowledge Difficulty: Medium Learning Objective: 6 Topic: Coefficient of determination 58. The __________ assumption requires that all variation around the regression line should be equal at all possible values (levels) of the independent variable. A. normality B. control variation C. constant variance D. independence AACSB: Reflective Thinking Bloom's: Knowledge Difficulty: Medium Learning Objective: 3 Topic: Simple Linear Regression model assumptions 1-1225 Chapter 01 - An Introduction to Business Statistics 59. The range for r2 is between 0 and 1 and the range for r is between ________ A. 0 and 1 B. -1 and 1 C. -1 and 0 D. no limit AACSB: Reflective Thinking Bloom's: Knowledge Difficulty: Easy Learning Objective: 6 Topic: Coefficient of determination 60. The _____ of the simple linear regression model is the value of y when the mean value of x is zero. A. y-intercept B. slope C. independent variable D. response variable AACSB: Reflective Thinking Bloom's: Knowledge Difficulty: Medium Learning Objective: 1 Topic: Simple Linear Regression 61. The least squares point estimates of the simple linear regression model minimize the _____. A. SS Error B. Total variance C. MS Error D. Explained variance AACSB: Reflective Thinking Bloom's: Knowledge Difficulty: Hard Learning Objective: 3 Topic: Simple Linear Regression 1-1226 Chapter 01 - An Introduction to Business Statistics 62. _____ is a statistical technique in which we use observed data to relate a dependent variable to one or more predictor (independent) variables. A. Chi-square analysis B. Regression analysis C. One-way ANOVA D. Correlation analysis AACSB: Reflective Thinking Bloom's: Knowledge Difficulty: Medium Learning Objective: 1 Topic: Simple Linear Regression 63. The simple linear regression model assumes there is a _____ between the dependent variable and the independent variable. A. normal relationship B. reverse relationship C. linear relationship D. correlation AACSB: Reflective Thinking Bloom's: Knowledge Difficulty: Hard Learning Objective: 1 Topic: Simple Linear Regression 64. In a simple linear regression model, they intercept term is the mean value of y when x equals _____. A. 1 B. 0 C. -1 D. y AACSB: Reflective Thinking Bloom's: Knowledge Difficulty: Easy Learning Objective: 1 Topic: Simple Linear Regression 1-1227 Chapter 01 - An Introduction to Business Statistics 65. In a simple linear regression model, the slope term is the change in the mean value of y associated with _____ in x. A. a corresponding increase B. a variable change C. no change D. one unit increase AACSB: Reflective Thinking Bloom's: Knowledge Difficulty: Medium Learning Objective: 1 Topic: Simple Linear Regression 66. The ______ is the range of the previously observed values of x. A. Population region B. Experimental region C. Slope D. Coefficient of determination AACSB: Reflective Thinking Bloom's: Knowledge Difficulty: Medium Learning Objective: 1 Topic: Simple Linear Regression 67. Any value of the error term in a regression model is _____ any other value of the error term. A. increases with B. dependent on C. independent of D. exactly the same as AACSB: Reflective Thinking Bloom's: Knowledge Difficulty: Hard Learning Objective: 3 Topic: Simple Linear Regression model assumptions 1-1228 Chapter 01 - An Introduction to Business Statistics 68. If there is significant autocorrelation present in a data set the ________________ assumption is violated. A. Normality B. Independence of error terms C. µ = 0 D. Constant variation AACSB: Reflective Thinking Bloom's: Knowledge Difficulty: Medium Learning Objective: 9 Topic: Residual analysis 69. _____ distribution is used for testing the significance of the slope term. A. t B. Z C. r D. r2 AACSB: Reflective Thinking Bloom's: Knowledge Difficulty: Medium Learning Objective: 4 Topic: Significance of the slope 70. If one of the assumptions of the regression model is violated, performing data transformations on the ____________ can remedy the situation. A. independent variable B. slope C. predictor variable D. response variable AACSB: Reflective Thinking Bloom's: Knowledge Difficulty: Medium Learning Objective: 9 Topic: Residual analysis 1-1229 Chapter 01 - An Introduction to Business Statistics 71. The ____________________ is the proportion of the total variation in the dependent variable explained by the regression model. A. Coefficient of determination B. Correlation coefficient C. Slope D. Standard error AACSB: Reflective Thinking Bloom's: Knowledge Difficulty: Easy Learning Objective: 6 Topic: Coefficient of determinat...
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This document was uploaded on 01/20/2014.

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