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A Company Hired 25 Employees for Various Positions

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A company hired 25 employees for various positions.After the candidates were chosen,they wanted to see what the relationship of starting salary was based on years of experience and education level.They assign a 0,1,2,or 3 for high school diploma,bachelor's degree,master's degree,or a doctorate,respectively.The regression model looks like this:
Dependent variable is: Salary
R-squared = 69.6% R-squared (adjusted)= 66.9%
s = 7889 with 25 - 3 = 22 degrees of freedom A company hired 25 employees for various positions.After the candidates were chosen,they wanted to see what the relationship of starting salary was based on years of experience and education level.They assign a 0,1,2,or 3 for high school diploma,bachelor's degree,master's degree,or a doctorate,respectively.The regression model looks like this: Dependent variable is: Salary R-squared = 69.6% R-squared (adjusted)= 66.9% s = 7889 with 25 - 3 = 22 degrees of freedom -Here are histograms of the leverage and Studentized residuals for the regression model: Comment on what these diagnostic displays indicate.
A company hired 25 employees for various positions.After the candidates were chosen,they wanted to see what the relationship of starting salary was based on years of experience and education level.They assign a 0,1,2,or 3 for high school diploma,bachelor's degree,master's degree,or a doctorate,respectively.The regression model looks like this: Dependent variable is: Salary R-squared = 69.6% R-squared (adjusted)= 66.9% s = 7889 with 25 - 3 = 22 degrees of freedom -Here are histograms of the leverage and Studentized residuals for the regression model: Comment on what these diagnostic displays indicate.
-Here are histograms of the leverage and Studentized residuals for the regression model: A company hired 25 employees for various positions.After the candidates were chosen,they wanted to see what the relationship of starting salary was based on years of experience and education level.They assign a 0,1,2,or 3 for high school diploma,bachelor's degree,master's degree,or a doctorate,respectively.The regression model looks like this: Dependent variable is: Salary R-squared = 69.6% R-squared (adjusted)= 66.9% s = 7889 with 25 - 3 = 22 degrees of freedom -Here are histograms of the leverage and Studentized residuals for the regression model: Comment on what these diagnostic displays indicate.
A company hired 25 employees for various positions.After the candidates were chosen,they wanted to see what the relationship of starting salary was based on years of experience and education level.They assign a 0,1,2,or 3 for high school diploma,bachelor's degree,master's degree,or a doctorate,respectively.The regression model looks like this: Dependent variable is: Salary R-squared = 69.6% R-squared (adjusted)= 66.9% s = 7889 with 25 - 3 = 22 degrees of freedom -Here are histograms of the leverage and Studentized residuals for the regression model: Comment on what these diagnostic displays indicate.
Comment on what these diagnostic displays indicate.

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