The following is the data obtained from a set of samples on the relation between statistics...

The following is the data obtained from a set of samples on the relation between statistics

final exam scores and the number of missed classes.

Student ID	Exam score	Class missed		Z exam	Z class missed
A	90	0	A	1.46	-1.46
B	80	1	B	0.88	-0.88
C	70	3	C	0.29	0.29
D	60	2	D	-0.29	-0.29
E	50	4	E	-0.87	0.88
F	40	5	F	-1.46	1.46
Mean	65	2.5
SD	17.08	1.71

a. Compute correlation coefficient

b. Compute appropriate values to generate a regression equation predicting exam score from the number of classes missed based on the data.

c. Compute Standard error of prediction for exam score from the number of classes missed.

d. Now compute appropriate values to generate a regression equation predicting the classes missed from the exam score based on the above data.

Compute Standard error of prediction for the number of classes missed from the exam score.

Compare the answer for e with answer for c. Why are the two standard error of predictions different when the degrees of correlation between the two variables are the same at -.94. Explain the difference in relation to the meaning of the standard error of prediction – precisely what standard prediction means.

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Expert Solution

orchestra answered 1 year ago

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