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In a regression model at any given combination of

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Unformatted text preview: iple regression model with three independent variables, the value of the adjusted multiple coefficient of determination is _________ less than R2. A. Always B. Sometimes C. Never 23. The mean square error of a multiple regression model with k independent variables and n observations is A. SSE / (n) B. SSE / [(n) + (k + 1)] C. SSE / [(n) - (k + 1)] D. SSE / (k + 1) 1-1304 Chapter 01 - An Introduction to Business Statistics 24. Which of the following is not an assumption of the multiple linear regression model? A. Independent error terms B. Population of error terms has a normal distribution. C. Populations of error terms observed at different combinations of values of the independent variable (x1, x2, xk) have equal variances. D. The level of measurement of the data for the dependent variable is at least ordinal. E. At any combination of values of x1, x2, xk, the population of potential error term values has a mean equal to zero. 25. A multiple regression analysis with 20 observations on each of three independent variables and the dependent variable would yield ______ and _______ degrees of freedom respectively for regression (explained) and error. A. 3, 17 B. 3, 16 C. 4, 16 D. 3, 19 E. 3, 20 26. If it is desired to include marital status in a multiple regression model by using the categories: single, married, separated, divorced, widowed, what will be the effect on the model? A. One more independent variable will be included. B. Two more independent variables will be included. C. Three more independent variables will be included. D. Four more independent variables will be included. E. Five more independent variables will be included. 1-1305 Chapter 01 - An Introduction to Business Statistics 27. An investigator hired by a client suing for sex discrimination has developed a multiple regression model for employee salaries for the company in question. In this multiple regression model, the salaries are in thousands of dollars. For example, a data entry of 35 for the dependent variable indicates a salary of $35,000. The indicator (dummy) variable for gender is coded as X1 = 0 if male and X1 = 1 if female. The computer output of this multiple regression model shows that the coefficient for this variable (X1) is - 4.2. The t test showed that X1 was significant at α = 0.1. This result implies that for male and female workers of the company, A. On the average, females earn $4200 less. B. On the average, males earn $4200 less. C. On the average, salaries do not differ. D. On the average, males have 4.2 more years of experience. E. On the average, females have 4.2 more years of experience. 28. Consider the following partial computer output for a multiple regression model. How many observations were taken? A. 3 B. 16 C. 19 D. 20 E. 13 1-1306 Chapter 01 - An Introduction to Business Statistics 29. Consider the following partial computer output for a multiple regression model. What is R2? A. 31.308% B. 76.95% C. 87.72% D. 72.63% E. 23.1% 30. Consider the following partial computer output for a multiple regression model. What is the adjusted R2? A. 31.308% B. 76.95% C. 87.72% D. 72.63% E. 23.1% 1-1307 Chapter 01 - An Introduction to Business Statistics 31. The graph of the prediction equation obtained from the model is a(n) A. Line B. Plane C. Parabola D. Exponential curve 32. In multiple regression analysis, the mean square regression divided by mean square error yields the: A. Standard error B. F statistic C. R2 D. Adjusted R2 or E. t statistic 33. In multiple regression analysis, the explained sum of squares divided by the total sum of squares yields the: A. Standard error B. F statistic C. R2 D. Adjusted R2 or E. t statistic 34. In multiple regression analysis, which one of the following is the appropriate notation for error (residual)? A. B. C. D. E. None of the above 1-1308 Chapter 01 - An Introduction to Business Statistics 35. R2 is defined as: A. Total variation/explained variation B. Explained variation/total variation C. Unexplained variation/explained variation D. Total variation/unexplained variation E. Unexplained variation/total variation 36. An acceptable residual plot exhibits: A. Increasing error variance B. Decreasing error variance C. Constant error variance D. A curved pattern E. A mixture of increasing and decreasing error variance 37. Which one of the following is not an assumption about the residuals in a regression model? A. Constant variance B. Independence C. Normality D. Variance of zero E. Mean of zero 38. In multiple regression analysis, a desirable residual plot has what type of appearance? A. Curved B. Cyclical C. Fanning out D. Funneling in E. Horizontal band 1-1309 Chapter 01 - An Introduction to Business Statistics 39. Which of the following residual plots is not used in regression analysis? A. Residuals vs. parameter estimates B. Residuals vs. values of an independent variable C. Residuals vs. time order D. Residuals vs. predicted values of the dependent variable E. Standardized residuals vs....
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This document was uploaded on 01/20/2014.

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