Suppose you have a dataset obtained from a bank, which includes the following information about each of the 208 employees: (1) Employee’s gender (Male / Female), (2) Salary (in thousands of dollars), (3) Experience (YrsExp, how long the employee has worked at the bank, measured in number of years), (4) Prior Experience (how long the employee worked before joining this bank), (5) Job Grade (coded 1, 2, 3, 4, 5, 6, the higher the grade, the higher up is the employee’s standing in the bank – e. g. 1 is an entry level employee, while 6 is top management), (6) Education level (coded 1, 2, 3, 4, 5, the higher the level, the more educated is the employee standing in the bank – e. g. 1 is high school completion, while 5 is post-doctorate or equivalent), (7) Age (employee’s age, in years).