1. A researcher interested in the relationship between body mass index (BMI) and total serum cholesterol wished to fit a simple linear regression model in which total serum cholesterol is predicted from BMI using the following data.
Use the data to compute the ten residuals for the subjects.
Do the residual data support use of this model? Why or why not?
How can you check to see if you calculated the residuals correctly?
Hint for those doing this: Use SPSS to determine model. Calculate for each observation the residual. Look at SPSS options to plot residuals
|
Subject #
|
Total cholesterol
|
BMI
|
|
1
|
165
|
25.9
|
|
2
|
155
|
20.1
|
|
3
|
141
|
22.2
|
|
4
|
228
|
30.7
|
|
5
|
190
|
28.0
|
|
6
|
155
|
29.4
|
|
7
|
132
|
20.2
|
|
8
|
170
|
20.7
|
|
9
|
188
|
26.3
|
|
10
|
150
|
18.2
|