The Manager of a Human Resources Department Wishes to Predict $\text { Salary } = 40,000 + 2,500 x + 1,500 \mathrm {~g} + 1,000 \mathrm { xg }$

question 7

Multiple Choice

The manager of a human resources department wishes to predict the salary of an employee based on years of experience,x,and gender,g.(g = 1 for a male employee and 0 for a female employee.) A random sample of 50 employees results in the following least-squares regression equation: $\text { Salary } = 40,000 + 2,500 x + 1,500 \mathrm {~g} + 1,000 \mathrm { xg }$ Interpret the value of the coefficient of gender (g) .

• A)We predict that a woman with 0 years of experience will make $1,500 more than a man with 0 years of experience.
• B)We predict that a man with 0 years of experience will make $1,000 more than a woman with 0 years of experience.
• C)We predict that a man with 0 years of experience will make $2,500 more than a woman with 0 years of experience.
• D)We predict that a man with 0 years of experience will make $1,500 more than a woman with 0 years of experience.
• E)We predict that a woman with 0 years of experience will make $2,500 more than a man with 0 years of experience.

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Definitions:

Operating Expenses

Costs related to the day-to-day functions of a business that are not directly tied to the production of goods or services, such as rent, utilities, and salaries.

Direct Materials Purchases

The total cost of raw materials bought by a company for use in the production process during a specific period.

Factory Overhead Cost

Costs not directly tied to a specific unit of production or operation, such as maintenance, utilities, and rent.

Zero-Based Budgeting

A budgeting approach where every expense must be justified for each new period, starting from a "zero base."