BUAD 310
Project 10
1. Past, current, & future students who will apply to USC
2. Not representative because it is not random
3. The regression equation is GPA = .285 + .00215 SATMath + .249 HSMath + .165
HSEngl
4. B0 = If your scores were all 0. your gpa would be .285 which doesn’t make sense b/c
with scores of 0 you cant have a gpa of .285 or let alone be accepted to USC
B1 = if one does one point better on the SAT math then their gpa will be expected to
be .00215 better
B2 = if 2 students have the same HS englis and SAT math scores then if one does one
point better on the HS math then their gpa will be .249 points higher
B3 = if 2 studetnts have the same sat math and hs math scores and if one does one point
better on hs English then their gpa is expected to be .165 points higher
5. Mean = 2.593
Median = 2.615
6. The fit 1.9851
7. The regression to the average.
8. Rsq = 80.2%
when using y hat and not y bar you can lower the uncertainty by this
percentage
9. Rsq = 80.2%
10. no because expected value of one of them and expected average for the same
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 '07
 Lv
 Business, Statistics, Regression Analysis, H0 High school English, hs math, GPA vs bets

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