Exam 14: Multiple Regression Analysis
Exam 1: What Is Statistics79 Questions
Exam 2: Describing Data: Frequency Tables, Frequency Distributions, and Graphic Presentation129 Questions
Exam 3: Describing Data: Numerical Measures132 Questions
Exam 4: Describing Data: Displaying and Exploring Data108 Questions
Exam 5: A Survey of Probability Concepts130 Questions
Exam 6: Discrete Probability Distributions128 Questions
Exam 7: Continuous Probability Distributions131 Questions
Exam 8: Sampling Methods and the Central Limit Theorem115 Questions
Exam 9: Estimation and Confidence Intervals129 Questions
Exam 10: One-Sample Tests of Hypothesis134 Questions
Exam 11: Two-Sample Tests of Hypothesis130 Questions
Exam 12: Analysis of Variance128 Questions
Exam 13: Correlation and Linear Regression130 Questions
Exam 14: Multiple Regression Analysis129 Questions
Exam 15: Index Numbers129 Questions
Exam 16: Time Series and Forecasting129 Questions
Exam 17: Nonparametric Methods: Goodness-Of-Fit Tests129 Questions
Exam 18: Nonparametric Methods: Analysis of Ranked Data129 Questions
Exam 19: Statistical Process Control and Quality Management129 Questions
Exam 20: An Introduction to Decision Theory115 Questions
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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:
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: 

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In multiple regression analysis, residual analysis is used to test the requirement that
(Multiple Choice)
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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?
(Multiple Choice)
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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.
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.
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.
In a stepwise regression analysis, which independent variable would be removed from the analysis first?

(Short Answer)
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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:
The results for the variable gender show that

(Multiple Choice)
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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:
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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