With Multiple regression, the two variables that predict College GPA the best. Another table with the the two best variables, then:

Predicted College GPA for the student with High School GPA = 3.55, SAT = 1100, and Letters = 10?

• a. 2.53
• b. 2.57
• c. 2.70
• d. 2.78

Standard error of this prediction?

• a. 0.587; [2.17, 3.35]
• b. 0.587; [1.94, 3.12]
• c. 0.587; [2.20, 3.37]
• d. 0.587; [2.11, 3.280]

Coefficient of High School GPA and what is the interpretation?

• a. 0.376: For an additional 1 point scored on the high school GPA a student's college GPA increases by 0.376
• b. 0.407: For an additional 1 point scored on the high school GPA a student's college GPA increases by 0.407.
• c. There will be 25.248 tornadoes in Month Y for each observed tornado in January
• d. 0.000107: For an additional 100 points scored on the high school GPA a student's college GPA increases by 0.0107.
• e. 0.001217: For an additional 100 points scored on the high school GPA, a student's college GPA increases by 0.1217

If student A's High School GPA is 0.65 point lower than student B's, and on the other hand, student B's SAT score is lower than student A' by 200 points, out of the two students, will have lower predicted College GPA and by how much?

• a. Student B by 0.021 points
• b. Student B by 0.51 points
• c. Student A by 0.021 points
• d. Student A by 0.51 points

The data

https://docs.google.com/spreadsheets/d/1JC1I7lTOiulomgyNNduklvowhBkKgCpK08TuYQFPrkw/edit?usp=sharing