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
Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter10: Statistics
Section10.6: Summarizing Categorical Data
Problem 31PPS
Related questions
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).
- 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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