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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

MATLAB: An Introduction with Applications
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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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
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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