Pre-Statistics and Statistics Course Grades:We recorded the pre-statistics course grade (in percent) and introductory statistics course grade (in percent) for 60 community college students.

The linear regression equation is:

Predicted introductory statistics course grade = - 0.147 + 0.981 (Pre-statistics course grade)

What does the -0.147 tell us?

Group of answer choices

For each 1% increase in the pre-statistics course grade, the predicted introductory statistics course grade decreases 0.147%.

For each 0.981% increase in the pre-statistics course grade, the predicted introductory statistics course grade decreases 0.147%.

A student who earns a 0 for the pre-statistics course grade will have a predicted introductory statistics course grade of -0.147%.

A student who earns a 0 for the pre-statistics course grade will have an actual introductory statistics course grade of -0.147%.

Pre-Statistics and Statistics Course Grades: We recorded the pre-statistics course grade (in percent) and introductory statistics course grade (in percent) for 60 community college students. 95 90 85 Introductory Statistics Course Grade (percent) 75 . 70 50 55 70 75 80 85 90 95 Pre-statistics Course Grade (percent) The linear regression equation is: Predicted introductory statistics course grade = - 0.147 + 0.981 (Pre-statistics course grade) What does the -0.147 tell us? O For each 1% increase in the pre-statistics course grade, the predicted introductory statistics course grade decreases 0.147%. O For each 0.981% increase in the pre-statistics course grade, the predicted introductory statistics course grade decreases 0.147%. O A student who earns a O for the pre-statistics course grade will have a predicted introductory statistics course grade of -0.147%. O A student who earns a O for the pre-statistics course grade will have an actual introductory statistics course grade of -0.147%