Estimate: GPA = β0 + β1GRE + ε, where GRE is a student’s score on the math portion of the Graduate Record Examination (GRE) score and GPA is the student’s grade point average in graduate school.
GPA | GRE |
3.9 | 690 |
3.2 | 740 |
3.1 | 740 |
2.7 | 650 |
2.5 | 700 |
2.9 | 640 |
2.7 | 710 |
2.9 | 700 |
2.1 | 760 |
2.3 | 670 |
3.6 | 750 |
2.5 | 700 |
3.4 | 650 |
3.9 | 690 |
3.3 | 700 |
2.7 | 680 |
3.8 | 660 |
2.6 | 660 |
3.9 | 710 |
3.8 | 760 |
3 | 690 |
3.2 | 710 |
3.1 | 750 |
2.2 | 760 |
a. Use R’s predict() function to construct the 90% confidence interval for the expected GPA for an individual who scored 720 on the math portion of the GRE. (Round answers to 2 decimal places.)
b. Use R’s predict() function to construct the 90%
prediction interval for GPA for an individual who scored 720 on the
math portion of the GRE. (Round answers to 2 decimal
places.)
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