# Linear Regression

Not what you're looking for?

Using the database

a) Develop a Multiple Regression model with the dependent variable being the Overall Job Satisfaction. Use gender, age, department, position and tenure with company as the independent variables. Comment on your analysis (Rsq, Rsq adj, etc). You are to provide not only the output of the regression procedure but also the model equation.

b) Develop a Linear Regression model using intrinsic job satisfaction and extrinsic job satisfaction. You can decide which you want to make the dependent variable and which the independent. Comment on your analysis (Rsq, Rsq adj, etc.). You are to provide not only the output of the regression procedure but also the model equation.

##### Purchase this Solution

##### Solution Summary

Using the database

a) Develop a Multiple Regression model with the dependent variable being the Overall Job Satisfaction. Use gender, age, department, position and tenure with company as the independent variables. Comment on your analysis (Rsq, Rsq adj, etc). You are to provide not only the output of the regression procedure but also the model equation.

b) Develop a Linear Regression model using intrinsic job satisfaction and extrinsic job satisfaction. You can decide which you want to make the dependent variable and which the independent. Comment on your analysis (Rsq, Rsq adj, etc.). You are to provide not only the output of the regression procedure but also the model equation.

##### Solution Preview

a) Develop a Multiple Regression model with the dependent variable being the Overall Job Satisfaction. Use gender, age, department, position and tenure with company as the independent variables. (Rsq, Rsq adj, etc). Show output of your procedure.

In ordinary least square regression, we should notice the setting of the variables. We cannot directly regress Satisfaction over gender, age, department, position and tenure. Because they are grouped into several categories, the numbers "1,2,3" are not numerical, but simply indicators of subgroups. Therefore, we need to create some dummy variables.

We generate:

Male = 1 for males, and =0 for females

AGE21 = 1 for age 21 and under, = 0 otherwise

AGE2249 = 1 for age 22-49, = 0 otherwise

HR = 1 for department of Human Resources, = 0 otherwise

IT = 1 for department of Information Technology, = 0 otherwise

POSITION = 1 for Hourly Employee, = 0 otherwise

TENURE2 = 1 for tenure less than 2 years, = 0 otherwise

TENURE25 = 1 for tenure 2 to 5 years, = 0 otherwise

Then we run regression and ...

##### Purchase this Solution

##### Free BrainMass Quizzes

##### Measures of Central Tendency

Tests knowledge of the three main measures of central tendency, including some simple calculation questions.

##### Know Your Statistical Concepts

Each question is a choice-summary multiple choice question that presents you with a statistical concept and then 4 numbered statements. You must decide which (if any) of the numbered statements is/are true as they relate to the statistical concept.

##### Measures of Central Tendency

This quiz evaluates the students understanding of the measures of central tendency seen in statistics. This quiz is specifically designed to incorporate the measures of central tendency as they relate to psychological research.

##### Terms and Definitions for Statistics

This quiz covers basic terms and definitions of statistics.