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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.


Definitions:

Instructor's Words

Refers to the verbal and written communications from an educator to their students, often conveying knowledge, instructions, or feedback.

Correcting Entries

Adjustments made in the accounting records to amend errors or inaccuracies previously recorded.

Accountant

A professional who performs financial functions related to the collection, accuracy, recording, analysis, and presentation of a business, non-profit organization, or individual's financial operations.

Accumulated Depreciation

The cumulative amount of a physical asset's value that has been accounted for as depreciation since the asset was first utilized.

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