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QUESTION 5 You estimate a simple regression predicting first year grade point average GPA for 200 first year college students from the number of classes
QUESTION 5
- You estimate a simple regression predicting first year grade point average GPA for 200 first year college students from the number of classes they have missed. GPA is a continuous variable that ranges from 0.00 to 4.00. The unstandardized regression coefficient is -0.11. What is the correct interpretation of the regression coefficient?
1 | For each additional class that a student misses, their GPA decreases by 0.11, on average. | |
2 | Students who miss classes have GPAs that are 0.11 points lower, on average, than students who do not miss classes. | |
3 | A one point increase in GPA is associated with missing 11 fewer classes. | |
4 | Students with high GPAs miss 0.11 fewer classes than students with low GPAs. |
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