Use the following regression equation regarding professor salaries for following questions . )
Note that Years is the number of years a professor has worked at a college, and Salary is the annual
salary (in dollars) the professor earns.
-Interpret the slope in the context of the data.
A)The slope is 1280.If a professor has never worked at a college, his/her salary is expected to be $1,280.
B)The slope is 95000.If a professor has never worked at a college, his/her salary is expected to be $95,000.
C)The slope is 1280.For every additional year a professor works at a college, his/her salary is predicted to increase by $1,280.
D)The slope is 95000.For every additional year a professor works at a college, his/her salary is predicted to increase by $95,000.

Question

Use the following regression equation regarding professor salaries for following questions .  )
Note that Years is the number of years a professor has worked at a college, and Salary is the annual
salary (in dollars) the professor earns.
-Interpret the slope in the context of the data.
A)The slope is 1280.If a professor has never worked at a college, his/her salary is expected to be $1,280. 
B)The slope is 95000.If a professor has never worked at a college, his/her salary is expected to be $95,000. 
C)The slope is 1280.For every additional year a professor works at a college, his/her salary is predicted to increase by $1,280. 
D)The slope is 95000.For every additional year a professor works at a college, his/her salary is predicted to increase by $95,000.

Quizplus · Accepted Answer

The slope in a linear regression context represents the change in the dependent variable (salary) for a one-unit change in the independent variable (years worked at a college). Therefore, a slope of 1280 means for each additional year worked, the salary increases by $1,280.

Use the Following Regression Equation Regarding Professor Salaries for Following