awalyend test scores froms STAT 341 this semester. The score on exam 2 was e sco

Question

awalyend test scores froms STAT 341 this semester. The score on exam 2 was e score on exam I is a predictor (a), and whether the student picked up another predictor (zz), an indicator variable (0 or 1, where 1 indicates L. Dr. Cooley ressponse (v), his/her exam 2 was the the student did NOT pick up his/her exam). The first few lines of data are given below. Exam PickUp ExaIn2 79 60 64 64 Dr. Cooley fit three different possible models (lmi, 1a2, 1a3) using the commands below. After comparing the three models Dr. Cooley decided that the third model (1a3) best met his purposes. Summary info for this model is given below. la2

Explanation / Answer

(a)

The slope associated with Exam1 score from the student who picks up their exams is 0.90250. Its also remains same for exam1 score from the student who does not pick up their exams. since both variables exam1 and student pick up are independent variables.

(b)

No,

since, If Dr. cooley's take decision-based on AIC then mode1 fitt well to the data.as lower the AIC better the model.

and as Dr. cooley's take decision for model3 then its base on another criterion for choosing good model.

(c)

A p-value for a coefficient of exam1 for model3 is 0.364.is not significant. hence it does not have a significant impact on model3 fitting.

Now, using data that pick up their exams was 58 and the number who did not be 16. so, according to data, its have a significant impact on the fitted model.

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