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

question 15

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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:  Salary =40,000+2,500x+1,500 g+1,000xg\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.


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.

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