Exam 14: Multiple Regression Analysis

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Twenty-one executives in a large corporation were randomly selected for a study to determine the effect of several factors on annual salary (expressed in $000's). The factors selected were age, seniority, years of college, number of company divisions they had been exposed to and the level of their responsibility. A regression analysis was performed using a popular spreadsheet program with the following regression output: Twenty-one executives in a large corporation were randomly selected for a study to determine the effect of several factors on annual salary (expressed in $000's). The factors selected were age, seniority, years of college, number of company divisions they had been exposed to and the level of their responsibility. A regression analysis was performed using a popular spreadsheet program with the following regression output:   Which one of the following is the dependent variable? Which one of the following is the dependent variable?

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Twenty-one executives in a large corporation were randomly selected for a study to determine the effect of several factors on annual salary (expressed in $000's). The factors selected were age, seniority, years of college, number of company divisions they had been exposed to and the level of their responsibility. A regression analysis was performed using a popular spreadsheet program with the following regression output: Twenty-one executives in a large corporation were randomly selected for a study to determine the effect of several factors on annual salary (expressed in $000's). The factors selected were age, seniority, years of college, number of company divisions they had been exposed to and the level of their responsibility. A regression analysis was performed using a popular spreadsheet program with the following regression output:

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The variance inflation factor can be used to

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In multiple regression analysis, residual analysis is used to test the requirement that

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In the general multiple regression equation, which of the following variables represents the Y-intercept?

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What happens as the scatter of data values about the regression plane increases?

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In a multiple regression analysis, what statistic is used to test for correlated independent variables? ___________________

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Which of the following is a characteristic of the F-distribution?

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When does multicollinearity occur in a multiple regression analysis?

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If a multiple regression analysis is based on ten independent variables collected from a sample of 125 observations, what will be the value of the denominator in the calculation of the multiple standard error of estimate?

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A multiple regression analysis showed the following ANOVA table result. A multiple regression analysis showed the following ANOVA table result.   Based on the information in the ANOVA, what is the multiple coefficient of determination? Based on the information in the ANOVA, what is the multiple coefficient of determination?

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A multiple regression model includes (X1)(X2). The term is called

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In multiple regression, what statistic accounts for the variance of additional independent variables? _____________

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In multiple regression analysis, before testing the significance of the individual regression coefficients,

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A multiple regression analysis showed the following ANOVA table result. A multiple regression analysis showed the following ANOVA table result.   Based on the information in the ANOVA, how many independent variables were included in the multiple regression analysis? Based on the information in the ANOVA, how many independent variables were included in the multiple regression analysis?

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How are residual plots drawn and used to evaluate the assumptions of linear multiple regression?

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A multiple regression analysis showed the following results of the individual independent variables. A multiple regression analysis showed the following results of the individual independent variables.   In a stepwise regression analysis, which independent variable would be removed from the analysis first? In a stepwise regression analysis, which independent variable would be removed from the analysis first?

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A manager at a local bank analyzed the relationship between monthly salary and three independent variables: length of service (measured in months), gender (0 = female, 1 = male) and job type (0 = clerical, 1 = technical). The following ANOVA summarizes the regression results: A manager at a local bank analyzed the relationship between monthly salary and three independent variables: length of service (measured in months), gender (0 = female, 1 = male) and job type (0 = clerical, 1 = technical). The following ANOVA summarizes the regression results:   The results for the variable gender show that The results for the variable gender show that

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A manager at a local bank analyzed the relationship between monthly salary and three independent variables: length of service (measured in months), gender (0 = female, 1 = male) and job type (0 = clerical, 1 = technical). The following ANOVA summarizes the regression results: A manager at a local bank analyzed the relationship between monthly salary and three independent variables: length of service (measured in months), gender (0 = female, 1 = male) and job type (0 = clerical, 1 = technical). The following ANOVA summarizes the regression results:   Based on the ANOVA and a 0.05 significance level, the global null hypothesis test of the multiple regression model Based on the ANOVA and a 0.05 significance level, the global null hypothesis test of the multiple regression model

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Which statistic is used to test hypotheses about individual regression coefficients?

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