Exam 19: Building Multiple Regression Models
Exam 1: Data and Decisions29 Questions
Exam 2: Visualizing and Describing Categorical Data30 Questions
Exam 3: Describing, Displaying, and Visualizing Quantitative Data16 Questions
Exam 4: Correlation and Linear Regression21 Questions
Exam 5: Randomness and Probability22 Questions
Exam 6: Random Variables and Probability Models20 Questions
Exam 7: The Normal and Other Continuous Distributions20 Questions
Exam 8: Data Sources: Observational Studies and Surveys23 Questions
Exam 9: Data Sources: Experiments12 Questions
Exam 10: Sampling Distributions and Confidence Intervals for Proportio18 Questions
Exam 11: Confidence Intervals for Means20 Questions
Exam 12: Testing Hypotheses21 Questions
Exam 13: More About Tests and Intervals16 Questions
Exam 14: Comparing Two Means13 Questions
Exam 15: Inference for Counts: Chi-Square Tests17 Questions
Exam 16: Inference for Regression19 Questions
Exam 17: Understanding Residuals19 Questions
Exam 18: Multiple Regression18 Questions
Exam 19: Building Multiple Regression Models16 Questions
Exam 20: Time Series Analysis18 Questions
Exam 21: Introduction to Data Mining11 Questions
Exam 22: Quality Control20 Questions
Exam 23: Nonparametric Methods13 Questions
Exam 24: Decision Making and Risk19 Questions
Exam 25: Analysis of Experiments and Observational Studies9 Questions
Exam 26: Statistics and Data Analysis207 Questions
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What does the scatterplot below suggest about developing a multiple regression model to predict turnover rate using job growth and industry as predictor variables?


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(Multiple Choice)
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Correct Answer:
C
A multiple regression model was fit to data investigating what factors affect the size of company bonuses including number of employees and whether or not the employees were unionized (1 = yes, 0 = no).The regression coefficient of Union is 1259.5.The correct interpretation of this value is that, for unionized companies compared to non-unionized companies of the same size (same number of employees), on average the annual average bonus is ________________________ .
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(Multiple Choice)
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Correct Answer:
D
Data were collected on Job Growth (%) and Industry in an attempt to develop a model to predict Turnover Rate in a sample of 22 firms from the high tech (Industry = 1) and the financial services sector (Industry = 0).Based on the output provided, the predicted turnover rate for a firm in the financial services sector with a 2% job growth rate is ________________________ .


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(Multiple Choice)
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Correct Answer:
B
Data were collected on the following variables: turnover rate, job growth, number of employees, and innovative index and fit in a model to explain Turnover Rate.To check for the possibility of collinearity, a regression among predictor variables job growth and employees predicting a third predictor variable, innovative index, was run and was found to have an R2 = 8.8% and S=319.23.The Variance Inflation Factor (VIF) for the predictor variable Employees is ________________________ .
(Multiple Choice)
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A diagnostic measure used to identify influential cases that may have greatly affected multiple regression results is ________________________ .
(Multiple Choice)
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Data were collected on the following variables: turnover rate, job growth, number of employees, and innovative index and fit in a model to explain Turnover Rate.To check for the possibility of collinearity, a regression among predictor variables job growth and employees predicting a third predictor variable, innovative index, was run and was found to have an R2 = 52.5%.The Variance Inflation Factor (VIF) for the predictor variable Innovative Index is ________________________ .
(Multiple Choice)
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A multiple regression model was fit to predict size of company bonuses from number of employees and unionized employees (1 = yes, 0 = no).The resulting model was:
Based on this model, what is the annual average bonus for a company with 5000 employees that are unionized?
(Multiple Choice)
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Which of the following statements about collinearity in a multiple regression model is false?
(Multiple Choice)
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Below is a scatterplot of size of company bonuses (Y) by number of employees at the company (X) for unionized and non-unionized employees.What does the scatterplot suggest?


(Multiple Choice)
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Data were collected for a study investigating what factors affect the size of company bonuses.The number of employees at the company and whether or not the employees were unionized (1 = yes, 0 = no) was included in two competing multiple regression models.Which of the following statements is true?


(Multiple Choice)
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A multiple regression model was fit to predict size of company bonuses from number of employees and unionized employees (1 = yes, 0 = no).The resulting model was:
Based on this model, what is the annual average bonus for a company with 7500 employees that are not unionized?
(Multiple Choice)
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Based on the multiple regression statistics below, how much of the variability in Turnover Rate is explained by this multiple regression model?


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Which of the following statements about building multiple regression models is true?
(Multiple Choice)
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In a multiple regression model, industry (1=high tech, 0=financial services), job growth, number of employees, and innovative index were used to predict turnover rate in a sample of firms.The coefficient of Industry is -2.8329.This means that for firms with the same innovative index score, job growth and number of employees the turnover rate will, on average, be ________________________ .
(Multiple Choice)
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A point with a leverage value of 0 as an effect on all of the following regression statistics except:
(Multiple Choice)
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Data were collected on the number of employees and whether or not the employees were unionized (1 = yes, 0 = no) for a sample of companies to investigate factors that affect the size of bonuses.Based on the results shown, which of the following statements is true?


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