The human resource manager at Gamma, Inc. wants to examine t…
The human resource manager at Gamma, Inc. wants to examine the relationship between annual salaries (Y), the number of years employees have worked at Gamma, Inc. (X1) and whether the employee is male or female (X2). They are also interested in whether the interaction between the two explanatory variables (X1X2) has a significant impact on salaries. These data have been collected for a sample of 28 employees and the regression output is shown below. Summary measures Multiple R 0.8065 R-Square 0.6504 Adj R-Square 0.6067 StErr of Estimate 6572.3 Regression coefficients Coefficient Std Err t-value p-value Constant 29832 3904.56 7.640 0.0000 Experience 869 266.78 3.258 0.0033 Gender -2397 4620.04 -0.519 0.6087 Experience & Gender 404 350.38 1.153 0.2603 Find the Predicted salary of Female (Gender =1) if the number of years of employees have worked at Gamma is 10 years.