Question: 1.) Can you please show how to generate a simple regression using variables of choosing at a 95% confidence interval? Can you please explain why

1.) Can you please show how to generate a simple regression using variables of choosing at a 95% confidence interval? Can you please explain why the two variables were chosen, why one is the dependent variable, and the other is the independent variable. Please also show the regression output.

Please interpret the following:

R Square Adjusted R Square Standard Error ANOVA Table Coefficients Table Please discuss the implications for management. Include workplace applications that may be implemented based on the findings.

2.) Can you please show how to generate a multiple regression using variables of choosing at a 95% confidence interval? Can you please explain why the variables were chosen, why one is the independent variable, and the others are independent variables. Please also show the regression output.

Please interpret the following:

R Square Adjusted R Square Standard Error ANOVA Table Coefficients Table Please discuss implications for management Include workplace applications that may be implemented based on the findings.

Gender Age Department Position Tenure Job Satisfaction Intrinsic Extrinsic Commitment
1 1 1 2 1 6 5.3 2.9 3.7 KEY TO SURVEY
1 1 1 2 1 3.6 5.8 3.1 4
1 1 1 3 1 3.6 5.8 3.1 6.6 DEMOGRAPHICS
1 1 1 3 1 3.5 6.4 5.4 2.8
1 1 2 2 1 3.5 5 3.5 4.3 Gender
1 3 2 2 1 3.5 5 3.5 4.3 1 Male
1 1 2 3 2 3.4 6.4 5.9 3.6 2 Female
1 1 2 1 2 3.4 6.2 2.9 3 Age
1 3 2 3 1 3.4 5.4 6.9 7 1 16 - 21
1 1 2 1 1 3.4 5.3 5.4 6.5 2 22 - 49
1 1 1 3 1 3.4 6.4 5.9 3.6 3 50 - 65
1 2 1 1 1 3.4 6.2 2.9 3 Department
1 2 1 1 2 3.4 5.4 6.9 7 1 Front-Line Worker
1 1 2 1 2 3.4 5.3 5.4 6.5 2 Supervisor
1 3 2 3 1 3.4 4.7 5.9 3.6 3 Management
1 1 2 1 1 3.4 4.7 4.1 4.2 Position
1 1 1 3 1 3.6 5.8 3.1 4 1 Hourly Employee Part-time
1 2 1 1 1 3.6 5.8 3.1 6.6 2 Hourly Employee Full-time
1 2 1 1 2 3.5 6.4 5.4 2.8 3 Salaried Employee
1 2 2 2 3 3.5 5 3.5 4.3 Tenure With Company
1 3 3 3 2 3.5 5 3.5 4.3 1 Less than 2 years
1 2 3 3 2 3.4 6.4 5.9 3.6 2 2 to 5 years
1 1 3 2 2 3.4 6.2 2.9 3 3 Over 5 Years
1 2 1 1 3 3.4 5.3 5.4 6.5
1 1 2 1 2 3.4 4.7 5.9 3.6 SURVEY MEASURES
1 2 2 3 1 3.4 4.7 4.1 4.2
1 1 3 1 1 3.6 5.8 3.1 4 SURVEY MEASURE #1
1 2 2 2 1 4.9 5.3 2.9 3.7 OVERALL JOB SATISFACTION (Scale 1-7)
1 3 3 2 1 4.9 5.4 7 5.4 1 = Least Satisfied
1 3 3 3 2 4.9 5.3 5.7 4.7 7 = Most Satisfied
1 3 3 1 1 4.9 5.3 5.7 2.3 SURVEY MEASURE #2
1 1 2 2 1 5.2 4.7 5.6 5.2 INTRINSIC JOB SATISFACTION (Scale 1-7)
1 1 2 2 1 5.2 4.7 5.6 2.3 1= Least Satisfied
1 1 1 1 3 5.2 4.7 5.6 5.2 7= Most Satisfied
1 3 3 1 1 4.9 6.4 5.4 4.7 SURVEY MEASURE #3
1 3 3 3 2 4.9 6.4 4.6 4.5 EXTRINSIC JOB SATISFACTION (Scale 1-7)
1 3 3 1 1 6.2 2.5 4.4 4.5 1 = Least Satisfied
1 1 2 2 1 6 2.4 4.3 4.2 7 = Most Satisfied
1 1 2 2 1 4.9 5.3 2.9 4.8 SURVEY MEASURE #4
1 1 1 1 3 4.9 5.4 7 4.9 ORGANIZATIONAL COMMITMENT (Scale 1-7)
1 3 3 1 1 4.9 5.3 5.7 4.2 1= Least Satisfied
1 2 2 2 3 4.9 5.3 5.7 5 7= Most Satisfied
1 1 2 1 1 5.2 4.7 5.6 4.2
1 1 1 1 3 5.2 4.7 5.6 5.4
1 3 3 1 1 5.2 4.7 5.6 4.7
1 3 3 3 1 4.9 6.4 5.4 2.3
1 3 3 2 1 4.9 6.4 4.6 2.3
1 1 3 2 1 6.2 2.5 4.4 5.3
1 3 3 2 1 6 2.4 4.3 3.7
1 2 1 1 2 5.2 4.7 5.6 5.4
1 2 2 2 3 5.2 4.7 5.6 4.7
1 1 1 2 1 5.7 3.2 5.1 4.1
1 1 1 2 1 5.7 3.2 5.1 4.1
1 1 1 3 1 5.7 3.1 5 4.2
1 1 1 3 1 5.7 3.1 5 4.2
1 1 2 2 1 5.7 3 4.9 4.3
1 3 2 2 1 5.7 2.9 4.8 4.4
1 1 2 3 2 5.5 5.4 4.1 5.3
1 1 2 1 2 5.4 5.4 4.1 4.8
1 3 2 3 1 5.2 2.8 4.7 4.5
1 1 2 1 1 6.6 2.7 4.6 4.6
1 1 1 3 1 6.4 2.6 4.5 4.7
1 2 1 1 1 6.2 2.5 4.4 4.8
1 2 1 1 2 6 2.4 4.3 4.9
1 2 2 2 3 5.9 3.7 5.5 4.2
1 3 3 3 2 5.8 2.3 4.2 5
1 2 3 3 2 5.6 2.2 4.1 5.1
1 1 3 2 2 5.4 2.1 4 5.2
1 2 2 2 1 5.2 6 3.9 5.3
1 1 3 2 1 5.2 5.3 5.7 6.4
1 2 2 1 2 5.2 5.3 5.7 4.7
1 2 2 3 1 5.2 5.3 5.7 2.3
1 1 3 2 1 5.2 5.3 5.7 2.3
1 1 3 3 1 5.2 5.2 4.6 5.3
1 2 1 1 3 5.2 4.7 5.6 6.4
1 1 2 1 2 5.2 4.7 5.6 5.2
1 2 2 3 1 5.2 4.7 5.6 4.7
1 1 3 1 1 5.2 4.7 5.6 4.5
1 2 1 1 2 5.2 4.7 5.6 4.5
1 2 3 1 3 5.2 4.7 5.6 4.5
1 3 3 2 1 4.9 6.4 4.6 4.2
1 3 3 3 2 4.9 5.4 5.6 5.4
1 3 3 1 1 4.9 5.3 5.7 4.7
1 1 2 2 1 4.9 5.3 5.7 2.3
1 1 2 2 1 4.9 5.3 5.7 2.3
1 1 1 1 3 4.9 5.3 2.9 5.3
1 3 3 1 1 4.9 5.3 2.9 3.7
1 2 2 2 3 4.9 5.3 2.9 3.7
1 1 2 1 1 4.9 5.2 5.7 4.2
1 1 1 1 3 6 5.2 4.6 5.4
1 3 3 1 1 4.9 5.2 4.6 4.2
1 3 3 3 1 4.9 5.2 4.6 4.2
1 3 3 2 1 4.9 5.2 4.6 4.2
1 1 3 2 1 4.9 5.2 4.6 4.2
1 3 3 2 1 4.9 4.7 5.6 4.7
2 1 3 2 1 4.9 4.7 5.6 4.5
2 1 3 1 1 4.9 4.7 5.6 4.5
2 2 2 3 1 4.9 4.7 5.6 4.5
2 2 2 2 1 4.9 4.7 5.6 4.5
2 3 3 2 1 4.9 4.7 5.6 4.5
2 2 2 2 1 4.9 4.7 5.6 4.5
2 2 2 2 3 4.9 4.7 5.6 4.5
2 3 3 2 1 4.9 4.7 5.6 4.5
2 2 3 1 3 4.9 4.7 5.5 5.4
2 2 2 2 1 4.8 5.8 3.7 5.5
2 2 1 1 3 4.6 5.7 3.6 5.6
2 3 1 1 3 4.4 5.6 3.5 5.7
2 2 1 2 2 4.2 5.5 3.4 5.8
2 1 2 3 2 4 5.4 3.3 5.9
2 2 2 2 3 3.8 5.3 3.2 6
2 1 2 1 1 3.6 5.2 3.1 6.1
2 1 1 1 3 3.4 5.1 3 6.2
2 3 3 1 1 6 6.4 5.5 3.5
2 3 3 3 1 3.2 5.4 5.6 5.4
2 3 3 2 1 3.2 5.4 4.6 4.2
2 1 3 2 1 3.1 5.2 4.6 4.2
2 3 3 2 1 3.2 5.2 4.6 4.2
2 1 3 2 1 3.2 5.2 4.6 4.2
2 1 3 1 1 5.6 6.4 6 2.5
2 2 2 3 1 5.2 5.2 2.9 2.9
2 2 2 2 1 5.2 4.7 3.9 6.6
2 3 3 2 1 6.5 5.3 2.3 6.5
2 2 2 2 1 6.5 4.7 6.5 2.5
2 2 2 2 3 5.9 5.2 4.6 4.2
2 3 3 2 1 5.7 6.4 5.5 3.1
2 2 3 1 3 5.7 6 3 5
2 2 2 2 1 5.7 6 3 6.4
2 2 1 1 3 5.7 5.6 3.2 6.8
2 3 2 3 1 5.7 5.6 3.2 6.8
2 3 2 1 3 5.7 5.4 5.8 2.5
2 3 2 2 2 6 5.4 3.3 4.1
2 3 2 2 2 5.7 5.4 3.3 4.1
2 3 1 2 1 5.5 5.2 5.5 5.4
2 2 1 1 3 5.2 6.4 5.6 7
2 2 1 3 1 5.2 5.4 4.1 4.8
2 2 2 1 1 5.2 5.2 5.8 5.2
2 2 2 1 1 5.2 5.2 5.8 5.2
2 1 3 3 3 5.2 5.2 5.7 4.2
2 2 1 1 2 3.2 5.2 5.4 5.4
2 3 3 3 3 5.2 5.2 4.5 4.5
2 2 2 2 1 5.2 4.7 5.6 4.5
2 2 2 1 1 5.2 4.7 3.9 3.1
2 2 1 2 2 5.2 4.7 3.5 2.9
2 1 1 1 3 5.1 5.3 6 2.5
2 3 2 3 1 4.9 6.4 5.5 3.5
2 2 2 1 3 4.2 6.4 4.8 4.7
2 3 3 2 1 4.9 6.4 4.6 4.2
2 2 2 2 3 4.9 5.4 5.6 5.4
2 1 3 1 1 4.9 5.3 5.5 5.2
2 1 3 1 3 4.9 5.3 2.9 3.7
2 2 1 1 2 6 5.3 2.9 3.7
2 1 3 2 1 4.9 5.2 5.2 5.3
2 1 3 1 1 4.9 5.2 4.6 4.2
2 1 3 2 1 4.9 5.2 4.6 4.2
2 2 2 2 3 6 5.2 4.6 4.2
2 3 1 1 1 4.9 4.7 5.6 4.5
2 3 3 3 2 4.9 4.7 5.6 4.5
2 3 3 2 3 4.9 4.7 5.6 4.5
2 3 2 3 1 4.8 6.4 2.5 6.6
2 3 3 1 1 4.8 5.2 5.5 2.6
2 1 2 2 1 4.8 3.7 5.7 6.6
2 1 2 1 1 4.5 4 4 4.8
2 2 2 2 2 5 1.8 5 5.8
2 3 3 2 2 4.4 1.6 5.2 6
2 3 2 1 2 4.3 4.2 3.9 4.7
2 3 3 1 3 4.3 2 4.8 5.6
2 1 1 3 1 4.1 4.4 3.8 4.6
2 2 2 2 2 4.1 1.9 4.9 5.7
2 3 3 2 2 3.9 5.4 6.4 2.5
2 3 2 1 2 3.9 4.7 6.4 2.5
2 3 3 1 3 3.9 4.6 3.7 4.5
2 1 1 3 1 3.8 5.2 5.8 6.8
2 2 3 2 1 3.8 5.2 2.1 6.8
2 1 1 3 3 3.8 4.7 2.4 2.8
2 1 3 3 2 3.7 4.8 3.6 4.4
2 3 2 2 1 3.6 5.8 3.1 4
2 3 2 2 1 3.6 5.8 3.1 6.6
2 1 1 1 2 3.5 6.4 5.4 2.8
2 3 2 1 1 3.5 5 3.5 4.3
2 3 2 1 1 3.5 5 3.5 4.3
2 2 2 3 2 3.4 6.4 5.9 3.6
2 2 1 3 3 3.4 6.2 2.9 3
2 3 3 2 1 3.4 5.4 6.9 7
2 1 2 1 3 3.4 5.3 5.4 6.5
2 2 1 2 2 3.4 4.7 5.9 3.6
2 3 3 2 3 3.4 4.7 4.1 4.2
2 1 1 1 3 3.2 6.4 3.9 6.4
2 1 1 1 3 3.2 6.4 3.9 6.4
2 1 1 2 3 3.2 5.4 5.6 5.4
2 1 1 1 3 3.2 4.7 4.7 4.7

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