Use the Following Regression Equation Regarding Professor Salaries for Following

question 8

Multiple Choice

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.

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Definitions:

Teams

Groups of individuals working together to achieve a common goal, often characterized by shared responsibilities and collaboration.

Variance

A measure of how much values in a data set deviate from the mean value.

Data

Information collected for reference or analysis, often numerical.

Squared Deviation

The squared differences between each observation and the mean, used as part of the calculation for variance.