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# Regression Analysis for AIU jobsatisfaction data

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First run a regression analysis using the BENEFITS column of all data points in the data set as the independent variable and the INTRINSIC job satisfaction column of all data points in the data set as the dependent variable. Create a graph with the trendline displayed. What is the least squares regression line equation? What are the slope and the y-intercept? What is the R-squared value?

Next, run a regression analysis using the BENEFITS column of all data points in the data set as the independent variable and the EXTRINSIC job satisfaction column of all data points in the data set as the dependent variable. Create a graph with the trendline displayed. What is the least squares regression line equation? What are the slope and the y-intercept? What is the R-squared value?

Next, run a regression analysis using the BENEFITS column of all data points in the data set as the independent variable and the OVERALL job satisfaction column of all data points in the data set as the dependent variable. Create a graph with the trendline displayed. What is the least squares regression line equation? What are the slope and the y-intercept? What is the R-squared value?

Finally, make very specific comments and give reasons regarding any similarities or differences in the output results. Which regression produces the strongest correlation coefficient result? Why?

GENDER AGE DEPT POSITION TENURE OVERALL INTRINSIC EXTRINSIC BENEFITS
1 3 3 1 1 4.7 4 4.1 5.2
1 1 1 1 3 4.5 4.2 4.7 6
1 3 1 2 2 6.5 4.2 6 4.6
1 3 3 1 2 4.2 4.3 5.6 5.3
1 1 3 1 2 6.4 3.2 5.5 4.5
1 1 3 1 1 6.6 4.5 4.4 4.2
1 2 2 2 1 4.5 4.7 4.4 5.2
1 1 1 1 2 6.1 4.9 6.9 5.9
1 2 3 1 2 5 4.9 4.6 5.6
1 3 2 2 3 4.2 5 6.2 5.5
1 2 1 1 1 4.1 5.5 5.5 4.1
1 3 1 2 2 5.1 5.6 4.9 4.7
1 2 1 1 2 6.5 5.6 5.5 4.9
1 1 2 2 2 6 5.7 4.6 3.6
1 1 3 1 1 4.7 5.7 5 4.9
2 3 1 1 1 6.7 5.9 6.1 5
2 1 3 1 2 4 6 4.7 5.7
2 2 1 1 2 4.6 6.2 4.6 4.6
2 1 1 1 2 6.2 6.5 6.1 5.7
2 3 3 1 1 4.3 6 4.4 4.6
2 2 3 1 1 4.5 6.2 6.5 5.4
2 2 1 1 3 5 6.3 6.2 5
2 3 2 2 1 5.4 4.2 4.7 4.6
2 1 3 2 2 6.9 4.4 5.5 4.7
2 2 2 2 3 4.3 4.6 4.6 4.4

KEY TO JOB SATISFACTION SURVEY
Gender
1 Male
2 Female
Age
1 21 and under
2 22-49
3 50 and over
Department
1 Human Resources
2 Information Technology
Position
1 Hourly Employee (Overtime Eligible)
2 Salaried Employee (No Overtime)
Tenure With Company
1 Less than 2 years
2 2 to 5 years
3 Over 5 Years
OVERALL Scale from 1-7
1 = Least Satisfied
7 = Most Satisfied
INTRINSIC Scale from 1-7
1= Least Satisfied
7= Most Satisfied
EXTRINSIC Scale from 1-7
1 = Least Satisfied
7 = Most Satisfied
BENEFITS Scale from 1-7
1= Least Satisfied
7= Most Satisfied