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Regression analysis:Unemployement problem

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A study provided data on variables that may be related to the number of weeks a manufacturing worker has been jobless. The dependent variable in the study (weeks) was defined as the number of weeks a worker has been Jobless due to a layoff. The following independent variables were used in the study. Age, Educ, married, Head (this is a dummy variable 1 if head of household 0 other wise), tenure, Manager (another dummy variable), Sales ( another dummy variable 1 if sales occupation, 0 otherwise).

MANAGERIAL REPORT

Present a summary of your analysis, including key statistical results, conclusions, and recommendations in a managerial report. Include any appropriate technical material (computer output, residual plots) in an appendix.

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This posting contains solution to following regression analysis problem for unemployment.

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Please find attached the response to your question on Layoff due to variables like age, marriage, head of household, sales person or not etc. The analysis is done using regression with dummy variables, the regression results are attached in excel file along with chart of fitted vs actual values, and the interpretation of the output is provided in the word document.

A study provided data on variables that may be related to the number of weeks a manufacturing worker has been jobless. The dependent variable in the study (weeks) was defined as the number of weeks a worker has been Jobless due to a layoff. The following independent variables were used in the study. Age, Educ, married, Head (this is a dummy variable 1 if ...

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