Exam 19: Building Multiple Regression Models

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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? 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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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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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 ________________________ . 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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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 ________________________ .

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A diagnostic measure used to identify influential cases that may have greatly affected multiple regression results is ________________________ .

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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 ________________________ .

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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?

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Which of the following statements about collinearity in a multiple regression model is false?

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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? 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?

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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? 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?

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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?

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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? 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?

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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 ________________________ .

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A point with a leverage value of 0 as an effect on all of the following regression statistics except:

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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? 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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