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Regression and Tests of Regression 1. Run the following regression.. For each, test the assumptions of linearity, level of measurement of the data, heteroscedasticity, that the residuals have a mean of 0, and that they are normally distributed. Test the null hypothesis that salary is not influenced by age. 2. Summarize your analysis and conclusions about the hypothesis in a well-written memo. Describe the methods, results and conclusions. 3. Submit the memo and Excel file. Multiple Regression 1. Perform a multiple regression using salary as the dependent variable and gender, prior experience and age as the independent variables. Also conduct a test for multi-collinearity. If the data is multi-collinear, what would be your recommendations? 2. Summarize your analysis and conclusions in a well-written memo. Describe the methods, results and conclusions. Make sure you discuss the r-square, model significance, variable significance and co-efficients for the independent variables. Also develop the regression equation. 3. Submit the memo and Excel file. pls refer to the attachment!
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