Explanation:
The slope coefficient in a linear regression model represents the expected change in the dependent variable (average test score) for a 1-unit change in the independent variable (study hours).
Key points:
Ultimate access to all questions.
A graduate school constructs a linear regression model to estimate the effect of increased study hours on the average performance of students in a test. The slope coefficient is found to be equal to 2. What does this mean?
A
The average score when the number of study hours is zero is 2
B
The predicted score when the number of study hours is zero is 2%
C
For every one unit change in the number of study hours, the model predicts that the average score will change by 2 units
D
For every one unit change in the number of study hours, the model predicts that the average score will change by 2%
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