Define multiple regression equation-slopes in the equation

Reference no: EM13135674

Using the "Cumba" database file, develop a model to predict the employee's salary using the employee's age, years of experience, and gender. Since gender is nominal, use 0 for male and 1 for female. The "Multiple Regression" file has already been pre-loaded with the data, so you need only interpret the output. Complete the following tasks:

• State the multiple regression equation.
• Interpret the meaning of the slopes in the equation.
• Predict the salary for a 40-year-old male employee with five years' experience.
• At the .05 level of significance, determine whether each explanatory variable makes a significant contribution to the regression model.
• Interpret the meaning of the r-squared.
• Interpret your findings. What changes would you make to the model, given the results?

Reference no: EM13135674

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