Biology (Raven) text and test bank

Biology (Raven) text and test bank - 26 Multiple Regression...

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Unformatted text preview: 26 Multiple Regression Model Building CHAPTER 15: MULTIPLE REGRESSION MODEL BUILDING 1. A real estate builder wishes to determine how house size (House) is influenced by family income (Income), family size (Size), and education of the head of household (School). House size is measured in hundreds of square feet, income is measured in thousands of dollars, and education is in years. The builder randomly selected 50 families and ran the multiple regression. The business literature involving human capital shows that education influences an individuals annual income. Combined, these may influence family size. With this in mind, what should the real estate builder be particularly concerned with when analyzing the multiple regression model? a) Randomness of error terms b) Collinearity c) Normality of residuals d) Missing observations ANSWER: b TYPE: MC DIFFICULTY: Moderate KEYWORDS: collinearity, assumption 2. A microeconomist wants to determine how corporate sales are influenced by capital and wage spending by companies. She proceeds to randomly select 26 large corporations and record information in millions of dollars. A statistical analyst discovers that capital spending by corporations has a significant inverse relationship with wage spending. What should the microeconomist who developed this multiple regression model be particularly concerned with? a) Randomness of error terms b) Collinearity c) Normality of residuals d) Missing observations ANSWER: b TYPE: MC DIFFICULTY: Moderate KEYWORDS: collinearity, assumption 3. In multiple regression, the __________ procedure permits variables to enter and leave the model at different stages of its development. a) forward selection b) residual analysis c) backward elimination d) stepwise regression ANSWER: d TYPE: MC DIFFICULTY: Easy KEYWORDS: stepwise regression, model building 4. A regression diagnostic tool used to study the possible effects of collinearity is a) the slope. 27 Multiple Regression Model Building b) the Y-intercept. c) the VIF. d) the standard error of the estimate. ANSWER: c TYPE: MC DIFFICULTY: Easy KEYWORDS: variance inflationary factor, collinearity 5. Which of the following is not used to find a "best" model? a) Adjusted r 2 b) Mallow's C p c) Odds ratio d) All of the above ANSWER: c TYPE: MC DIFFICULTY: Moderate KEYWORDS: model building 6. The Variance Inflationary Factor (VIF) measures the a) correlation of the X variables with the Y variable. b) correlation of the X variables with each other. c) contribution of each X variable with the Y variable after all other X variables are included in the model. d) standard deviation of the slope. ANSWER: b TYPE: MC DIFFICULTY: Easy KEYWORDS: variance inflationary factor, collinearity 7. The p C statistic is used a) to determine if there is a problem of collinearity....
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This note was uploaded on 10/15/2010 for the course BIO BIO1 taught by Professor Lipke during the Fall '09 term at CUNY Brooklyn.

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Biology (Raven) text and test bank - 26 Multiple Regression...

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