Question: Let's say that you are running a regression model that examines the relationship between number of hours studied for Exam and a student's score on
Let's say that you are running a regression model that examines the relationship between number of hours studied for Exam and a student's score on the Exam. The model has an intercept term of 45.5.
How would we interpret this intercept term?
Options:
| A | We would predict that a student that studied 0 hours for Exam would achieve a score of 45.5 on the exam. |
| B | We would say that 45.5 percent of the variation in students' exam scores can be explained by our statistical model. |
| C | We would say that for each 1 hour increase in study time, a student's exam score will increase by 45.5 points. |
| D | 45.5 students will pass Exam |
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