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

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

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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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). 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.
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