Question: 3.897 21 3.885 14 3.778 28 2.540&n...
3.897 21 |
3.885 14 |
3.778 28 |
2.540 22 |
3.028 21 |
3.865 31 |
2.962 32 |
3.961 27 |
0.500 29 |
3.178 26 |
3.310 24 |
3.538 30 |
3.083 24 |
3.013 24 |
3.245 33 |
2.963 27 |
3.522 25 |
3.013 31 |
2.947 25 |
2.118 20 |
2.563 24 |
3.357 21 |
3.731 28 |
3.925 27 |
3.556 28 |
3.101 26 |
2.420 28 |
2.579 22 |
3.871 26 |
3.060 21 |
3.927 25 |
2.375 16 |
2.929 28 |
3.375 26 |
2.857 22 |
3.072 24 |
3.381 21 |
3.290 30 |
3.549 27 |
3.646 26 |
2.978 26 |
2.654 30 |
2.540 24 |
2.250 26 |
2.069 29 |
2.617 24 |
2.183 31 |
2.000 15 |
2.952 19 |
3.806 18 |
2.871 27 |
3.352 16 |
3.305 27 |
2.952 26 |
3.547 24 |
3.691 30 |
3.160 21 |
2.194 20 |
3.323 30 |
3.936 29 |
2.922 25 |
2.716 23 |
3.370 25 |
3.606 23 |
2.642 30 |
2.452 21 |
2.655 24 |
3.714 32 |
1.806 18 |
3.516 23 |
3.039 20 |
2.966 23 |
2.482 18 |
2.700 18 |
3.920 29 |
2.834 20 |
3.222 23 |
3.084 26 |
4.000 28 |
3.511 34 |
3.323 20 |
3.072 20 |
2.079 26 |
3.875 32 |
3.208 25 |
2.920 27 |
3.345 27 |
3.956 29 |
3.808 19 |
2.506 21 |
3.886 24 |
2.183 27 |
3.429 25 |
3.024 18 |
3.750 29 |
3.833 24 |
3.113 27 |
2.875 21 |
2.747 19 |
2.311 18 |
1.841 25 |
1.583 18 |
2.879 20 |
3.591 32 |
2.914 24 |
3.716 35 |
2.800 25 |
3.621 28 |
3.792 28 |
2.867 25 |
3.419 22 |
3.600 30 |
2.394 20 |
2.286 20 |
1.486 31 |
3.885 20 |
3.800 29 |
3.914 28 |
1.860 16 |
2.948 28 |
The first column corresponds to GPA and the two one represents ACT score. After fitting a simple linear regression using ACT score as the explanatory variable and GPA as the response,I constructed a 95% prediction interval for a particular student whose ACT test score was 20 with the following code:
fit.GPA <- lm(GPA ~ ACT, data=Dat)
predict(fit.GPA, data.frame(ACT = 20), interval = "prediction")
and this is the output:
fit lwr upr
1 2.890592 1.645753 4.13543
The upper limit is 4.13543 which is larger than 4,together with the fact that from the data not a single student have a GPA of 4,did I do something wrong?
Please use R to answer this question instead of hand calculation. Thanks
Question: 3.897 21 3.885 14 3.778 28 2.540&n... 3.897 21 3.885 14 3.778 28 2.540 22...
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Grade point average. The director of admissions of a small college seleeted 120 students at random from the new freshman class in a study to determine whether a student's grade point average (GPA) at the end of the freshman year (Y) can be predicted from the ACT test score (X) The results of the study follow. Assume that first-order regression model (1.1) is appropriate. 2 118 119 120 i: Xi: 21 Yi: 14 28 28 16 28 3.897 3.885 3.778.....
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