The file P10_05.xlsx contains salaries for a sample of DataCom employees, along with several variables that might be related to salary. Run a multiple regression of Salary versus Years Employed, Years Education, Gender, and Number Supervised. For each of these variables, explain exactly what the results in the Coefficient, Standard Error, t-Value, and p-Value columns mean. Based on the results, can you reject the null hypothesis that the population coefficient of any of these variables is zero versus a two-tailed alternative at the 5% significance level? If you can, what would you probably do next in the analysis?