numbers indicate greater depression symptoms. Figure below sh or each of the 75 participants at the start of the diet/depression e 30 Self-reported ng one depression scale to predict another 10 20 40 50 60 estimate each of the following quantities: the self-reported scor
numbers indicate greater depression symptoms. Figure below sh or each of the 75 participants at the start of the diet/depression e 30 Self-reported ng one depression scale to predict another 10 20 40 50 60 estimate each of the following quantities: the self-reported scor
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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Please help me to get the correct answers for this Statistics homework problem.
Transcribed Image Text:Predicting One Depression Score from Another Example 1.28 and Exercise 2.209 introduce a study examining the impact of diet on
depression. The study used two different ways to measure depression: the DASS, which uses self-reported symptoms, and the CESD, a
more clinical assessment. On both scales, higher numbers indicate greater depression symptoms. Figure below shows the regression
line on the scatterplot of the depression scores for each of the 75 participants at the start of the diet/depression experiment (before
the effect of any dietary intervention.)
Clinical
70
60
50
40
30
20
10
0
30
Self-reported
Using one depression scale to predict another
0
10
20
40
50
●
60
(a) For the case with the largest negative residual, estimate each of the following quantities: the self-reported score, the clinical score,
the predicted clinical score, and the residual.
Self-reported score = i
Clinical score = i
Predicted clinical score = i
Residual = i
(b) There appear to be three different cases that might have the largest positive residual. For the one with a self-reported score of 0,
estimate: the clinical score, the predicted clinical score, and the residual.
Clinical score = i
Predicted clinical score = i
Residual = i
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