Another researcher points out that he should also include two additional variables before starting the backwards selection: self-reported health rating (health; 1-poor/fair, 2-good, 3=very good, 4 excellent) and waist/hip ratio (whr). Output for this is below. regress 1di age nonwhite statins bai statina bai health2 health) healthe whr 141 I Coef. Std. Err. P>iti (95 Conf. Interval) age -.1865215 5.00834 2.970804 5973912 -.679922 2990933 3.019214 2.165906 -6.721505 150.6403 .1079118 2.282194 7.833982 .1645317 269827 1.786723 2.056158 3.792102 9.200068 11.57434 -1.73 0.084 -.3981105 .5333388 .0250754 nonwhite I statins bmi I statins baiI health2 1 health3 I 2.19 9.483341 18.33193 9200104 -.1508363 3.802558 7.050996 0.028 0.38 0.705 -12.39033 3.63 -2.52 0.000 0.012 0.067 0.142 0.568 0.469 0.000 .2747721 -1.20900 -3.204372 -1.012569 -5.269773 -24.91017 127.945 0.17 1.47 0.57 -0.72 13.02 health4 9.601585 11.47516 173.3357 whr I cons i Now what should be the first variable removed from the model? health2 statins can't tell, need a partial F-test whr
Another researcher points out that he should also include two additional variables before starting the backwards selection: self-reported health rating (health; 1-poor/fair, 2-good, 3=very good, 4 excellent) and waist/hip ratio (whr). Output for this is below. regress 1di age nonwhite statins bai statina bai health2 health) healthe whr 141 I Coef. Std. Err. P>iti (95 Conf. Interval) age -.1865215 5.00834 2.970804 5973912 -.679922 2990933 3.019214 2.165906 -6.721505 150.6403 .1079118 2.282194 7.833982 .1645317 269827 1.786723 2.056158 3.792102 9.200068 11.57434 -1.73 0.084 -.3981105 .5333388 .0250754 nonwhite I statins bmi I statins baiI health2 1 health3 I 2.19 9.483341 18.33193 9200104 -.1508363 3.802558 7.050996 0.028 0.38 0.705 -12.39033 3.63 -2.52 0.000 0.012 0.067 0.142 0.568 0.469 0.000 .2747721 -1.20900 -3.204372 -1.012569 -5.269773 -24.91017 127.945 0.17 1.47 0.57 -0.72 13.02 health4 9.601585 11.47516 173.3357 whr I cons i Now what should be the first variable removed from the model? health2 statins can't tell, need a partial F-test whr
Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter4: Equations Of Linear Functions
Section4.5: Correlation And Causation
Problem 11PPS
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Transcribed Image Text:D
Question 5
Another researcher points out that he should also include two additional variables before starting the
backwards selection: self-reported health rating (health; 1=poor/fair, 2-good, 3=very good, 4=excellent)
and waist/hip ratio (whr). Output for this is below.
regress idl age nonwhite atatins bmi statina bmi health2 health3 health4 whr
Coef.
Std. Err.
P>iti
(95 Conf. Interval)
age i
nonwhite I
statins I
bmi I
-.1865215
5.00834
2.970804
.5973912
-.679922
.2990933
3.019214
2.165906
.1079118
2.282194
7.833982
-1.73
2.19
0.38
0.084
0.028
0.705
-.3981185
.5333388
-12.39033
.2747721
.0250754
9.483341
18.33193
9200104
-.1508363
3.802558
7.050996
9.601585
11.47516
.1645317
3.63
0.000
.269827
1.786723
2.056158
3.792102
-2.52
0.17
1.47
0.57
-0.72
0.012
0.867
0.142
0.568
0.469
0.000
-1.209008
statins bmi 1
health2 1
health3I
health4 1
whr I -6.721505
cons i
-3.204372
-1.012569
-5.269773
-24.91817
127.945
9.200068
11.57434
150.6403
13.02
173.3357
Now what should be the first variable removed from the model?
health2
statins
can't tell, need a partial F-test
whr
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