Report the correlations between the three independent variables (age, educ and Protestant) and your dependent variable (childs). Which category had the correlation that was the weakest? SDA 4.1.3: CorrelGeneral Social Survey 1972-2018 Cumulative DatafileOct 26, 2021 (Tue 06:42 AM PDT)VariablesRoleNameLabelRangeMDDatasetCorrelate CHILDSNumber of children0-8-1,91Correlate AGEAge of respondent18-890,98,991Correlate EDUCATION4 years of college or not1-22Correlate PROTESTANT Other0-12WeightCOMPWTComposite weight = WTSSALL OVERSAMP * FORMWT .1912-11.11961Correlation MatrixCHILDS AGE EDUCATION PROTESTANTCHILDS1.00.41-.13.11AGE.41 1.00-.01.14EDUCATION-.13 -.011.00-.08PROTESTANT.11.14-.081.00Missing data excluded: ListwiseColor coding: <-0.45 <-0.30 <-0.15 <0.00 >0.00 >0.15 >0.30 >0.45Allocation of cases (unweighted)Valid cases63,889Cases with invalid codes on925variables correlatedTotal cases64,814

The correlation is used to estimate whether there is any significance relationship between the two…

Answered: Report the correlations between the…

Report the correlations between the three independent variables (age, educ and Protestant) and your dependent variable (childs). Which category had the correlation that was the weakest?

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018

18th Edition

ISBN:9780079039897

Author:Carter

Publisher:Carter

Chapter4: Equations Of Linear Functions

Section: Chapter Questions

Problem 6SGR

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Question

Report the correlations between the three independent variables (age, educ and Protestant) and your dependent variable (childs). Which category had the correlation that was the weakest?

SDA 4.1.3: Correl
General Social Survey 1972-2018 Cumulative Datafile
Oct 26, 2021 (Tue 06:42 AM PDT)
Variables
Role
Name
Label
Range
MD
Dataset
Correlate CHILDS
Number of children
0-8
-1,9
1
Correlate AGE
Age of respondent
18-89
0,98,99
1
Correlate EDUCATION
4 years of college or not
1-2
2
Correlate PROTESTANT Other
0-1
2
Weight
COMPWT
Composite weight = WTSSALL OVERSAMP * FORMWT .1912-11.1196
1
Correlation Matrix
CHILDS AGE EDUCATION PROTESTANT
CHILDS
1.00
.41
-.13
.11
AGE
.41 1.00
-.01
.14
EDUCATION
-.13 -.01
1.00
-.08
PROTESTANT
.11
.14
-.08
1.00
Missing data excluded: Listwise
Color coding: <-0.45 <-0.30 <-0.15 <0.00 >0.00 >0.15 >0.30 >0.45
Allocation of cases (unweighted)
Valid cases
63,889
Cases with invalid codes on
925
variables correlated
Total cases
64,814

Definition Definition Relationship between two independent variables. A correlation tells the degree to which variables move in relation to each other. When two sets of data are related to each other, there is a correlation between them.

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