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Format Column Variable Name Label Codes Subject's Identification ABCD ID Sex Number N/A X Subject Sex Identified at Birth M= Male; F=Female X Age Age at time of Visit Range 0-100 X BMI Body Mass Index at Visit 0-70 X E Income Annual Income Range 0-10,000; >10,000-30,000; >30,000-50,000; >50,000- 100,00; >100,000 >HS; HS or equivalent; Some College; College or Graduate School F Education Level of Education G Systolic Blood Pressure SBP reading at Visit 0-200 H Employment Diabetes J TV K Physical M Housing N Zipcode Subject Employment Status Self-Reported Diabetes Status Time Spent watching TV per day in hours Time Spent working out per week in hours Housing Status Zip code of Current or Last Residence Unemployed; Employed X X X part-time; full-time employment X Y=Yes; N=No X 0-24 0-168 0=rent; 1=Own; 2-Unhoused; 3=Living with Friends or Family N/A X X X X

Format Column Variable Name Label Codes Subject's Identification ABCD ID Sex Number N/A X Subject Sex Identified at Birth M= Male; F=Female X Age Age at time of Visit Range 0-100 X BMI Body Mass Index at Visit 0-70 X E Income Annual Income Range 0-10,000; >10,000-30,000; >30,000-50,000; >50,000- 100,00; >100,000 >HS; HS or equivalent; Some College; College or Graduate School F Education Level of Education G Systolic Blood Pressure SBP reading at Visit 0-200 H Employment Diabetes J TV K Physical M Housing N Zipcode Subject Employment Status Self-Reported Diabetes Status Time Spent watching TV per day in hours Time Spent working out per week in hours Housing Status Zip code of Current or Last Residence Unemployed; Employed X X X part-time; full-time employment X Y=Yes; N=No X 0-24 0-168 0=rent; 1=Own; 2-Unhoused; 3=Living with Friends or Family N/A X X X X

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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Question

Suppose you have access to a database with the variables listed below. Choose two variables you are interested in exploring that may be related (a predictor and outcome).

  1. Which variable is your y (outcome) and which is your x (predictor)?  *Hint: which one may predict the other? Example: hot weather may predict sunburns.
Format Column Variable Name Label Codes Subject's Identification ABCD ID Sex Number N/A X Subject Sex Identified at Birth M= Male; F=Female X Age Age at time of Visit Range 0-100 X BMI Body Mass Index at Visit 0-70 X E Income Annual Income Range 0-10,000; >10,000-30,000; >30,000-50,000; >50,000- 100,00; >100,000 >HS; HS or equivalent; Some College; College or Graduate School F Education Level of Education G Systolic Blood Pressure SBP reading at Visit 0-200 H Employment Diabetes J TV K Physical M Housing N Zipcode Subject Employment Status Self-Reported Diabetes Status Time Spent watching TV per day in hours Time Spent working out per week in hours Housing Status Zip code of Current or Last Residence Unemployed; Employed X X X part-time; full-time employment X Y=Yes; N=No X 0-24 0-168 0=rent; 1=Own; 2-Unhoused; 3=Living with Friends or Family N/A X X X X
Transcribed Image Text:Format Column Variable Name Label Codes Subject's Identification ABCD ID Sex Number N/A X Subject Sex Identified at Birth M= Male; F=Female X Age Age at time of Visit Range 0-100 X BMI Body Mass Index at Visit 0-70 X E Income Annual Income Range 0-10,000; >10,000-30,000; >30,000-50,000; >50,000- 100,00; >100,000 >HS; HS or equivalent; Some College; College or Graduate School F Education Level of Education G Systolic Blood Pressure SBP reading at Visit 0-200 H Employment Diabetes J TV K Physical M Housing N Zipcode Subject Employment Status Self-Reported Diabetes Status Time Spent watching TV per day in hours Time Spent working out per week in hours Housing Status Zip code of Current or Last Residence Unemployed; Employed X X X part-time; full-time employment X Y=Yes; N=No X 0-24 0-168 0=rent; 1=Own; 2-Unhoused; 3=Living with Friends or Family N/A X X X X
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