330 Final exam practice items with answers

# 330 Final exam practice items with answers - True or false...

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True or false 64. Multiple regression is the process of using several independent variables to predict a number of dependent variables. ANSWER: F 65. In multiple regression, the descriptor “multiple” refers to more than one dependent variable. ANSWER: F 66. For each x term in the multiple regression equation, the corresponding β is referred to as a partial regression coefficient. ANSWER: T 67. In a multiple regression problem, the regression equation is 1 2 60.6 5.2 0.75 ˆ y x x - + = . The estimated value for y when 1 3 x = and 2 4 x = is 48. ANSWER: T 68. In reference to the equation 1 2 ˆ 0.80 0.12 0.08 y x x = - + + , the value –0.80 is the y intercept. ANSWER: T 69. In testing the significance of a multiple regression model in which there are three independent variables, the null hypothesis is 0 1 2 3 : H = = . ANSWER: F 70. In a multiple regression problem involving 24 observations and three independent variables, the estimated regression equation is 1 2 3 72 3.2 1.5 ˆ y x x x + = + - . For this model, SST = 800 and SSE = 245. Then, the value of the F statistic for testing the significance of the model is 15.102. ANSWER: T 71. A multiple regression equation includes 5 independent variables, and the coefficient of determination is 0.81. Then, the percentage of the variation in y that is explained by the regression equation is 90%. ANSWER: F 72. In a multiple regression analysis involving 4 independent variables and 30 data points, the number of degrees of freedom associated with the sum of squares for error, SSE, is 25. ANSWER: T

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73. In order to test the significance of a multiple regression model involving 4 independent variables and 25 observations, the numerator and denominator degrees of freedom for the critical value of F are 3 and 21, respectively. ANSWER: F 74. In multiple regression analysis, the adjusted multiple coefficient of determination is adjusted for the number of independent variables and the sample size. ANSWER: T 75. A multiple regression analysis includes 25 data points and 4 independent variables produces SST = 400 and SSR = 300. Then, the multiple standard error of estimate is 5. ANSWER: F 76. Multicollinearity is present if the dependent variable is linearly related to one of the explanatory variables. ANSWER: F 77. In a multiple regression analysis involving 50 observations and 5 independent variables, SST = 475 and SSE = 71.25. Then, the multiple coefficient of determination is 0.85. ANSWER:
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## This note was uploaded on 05/07/2008 for the course BUSMGT 330m taught by Professor Kriska during the Spring '08 term at Ohio State.

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330 Final exam practice items with answers - True or false...

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