Multiple regression model testing
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I need to use my attached database to 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. I need to provide output of the regression procedure but also the model equation.
Also, I need to develop a linear regression model using intrinsic job satisfaction and extrinsic job satisfaction.
You can make anything the dependent and independent variables.
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Solution Summary
This solution is provided in approximately 279 words in an attached .doc file. It provides Excel output for the statistics testing, and determines whether the hypotheses can be rejected. An attached .xls file also demonstrates the data output.
Education
- BSc , Wuhan Univ. China
- MA, Shandong Univ.
Recent Feedback
- "Your solution, looks excellent. I recognize things from previous chapters. I have seen the standard deviation formula you used to get 5.154. I do understand the Central Limit Theorem needs the sample size (n) to be greater than 30, we have 100. I do understand the sample mean(s) of the population will follow a normal distribution, and that CLT states the sample mean of population is the population (mean), we have 143.74. But when and WHY do we use the standard deviation formula where you got 5.154. WHEN & Why use standard deviation of the sample mean. I don't understand, why don't we simply use the "100" I understand that standard deviation is the square root of variance. I do understand that the variance is the square of the differences of each sample data value minus the mean. But somehow, why not use 100, why use standard deviation of sample mean? Please help explain."
- "excellent work"
- "Thank you so much for all of your help!!! I will be posting another assignment. Please let me know (once posted), if the credits I'm offering is enough or you ! Thanks again!"
- "Thank you"
- "Thank you very much for your valuable time and assistance!"
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