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

question 15

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: $\text { Salary } = 40,000 + 2,500 \mathrm { x } + 1,500 \mathrm {~g} + 1,000 \mathrm { xg }$ Interpret the value of the coefficient of the interaction term xg.

• A)We predict that the growth rate of a male employee's salary will be $1,000 per year higher than that of a female employee.
• 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 the growth rate of a male employee's salary will be $1,000 per year.
• D)We predict that a woman with 0 years of experience will make $1,000 more than a man with 0 years of experience.
• E)We predict that the growth rate of a female employee's salary will be $1,000 per year.

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Definitions:

Reproductive Fitness

The genetic contribution an individual makes to the next generation's gene pool, often measured by the number of offspring that survive to reproductive age.

Prospective Mate

An individual considered by another as a potential partner in a romantic relationship, assessing compatibility for a possible future together.

Good Genes

A hypothesis suggesting that certain traits, which are perceived as attractive, are signals of good health and genetic fitness.

Proximity

The physical or psychological closeness between people, which can influence their likelihood to form relationships or bond.