Below is a correlation matrix with three variables, specific to women who are 60 and younger. Correlations Highest level

MATLAB: An Introduction with Applications
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5. Below is a correlation matrix with three variables, specific to women who are 60 and younger.
Correlations
Highest level
of education
Total number
obtained by
Annual
of children
the
raised by
respondent.
respondent
10 g
personal
income of the
respondent.
Total number of children
Pearson Correlation
1
-.021
.050
raised by respondent.
Sig. (2-tailed)
.549
191
797
788
697
440"
Highest level of education
obtained by the
respondent - 10 g
Pearson Correlation
-.021
1
Sig. (2-tailed)
.549
.000
N
788
789
691
.440"
Annual personal income
of the respondent.
Pearson Correlation
.050
Sig. (2-tailed)
.191
.000
N
697
691
698
**. Correlation is significant at the 0.01 level (2-tailed).
a) What variables are the most strongly correlated? Report the correlation coefficient.
b) What is the strength and the direction of the correlation between education and number
and children?
Transcribed Image Text:5. Below is a correlation matrix with three variables, specific to women who are 60 and younger. Correlations Highest level of education Total number obtained by Annual of children the raised by respondent. respondent 10 g personal income of the respondent. Total number of children Pearson Correlation 1 -.021 .050 raised by respondent. Sig. (2-tailed) .549 191 797 788 697 440" Highest level of education obtained by the respondent - 10 g Pearson Correlation -.021 1 Sig. (2-tailed) .549 .000 N 788 789 691 .440" Annual personal income of the respondent. Pearson Correlation .050 Sig. (2-tailed) .191 .000 N 697 691 698 **. Correlation is significant at the 0.01 level (2-tailed). a) What variables are the most strongly correlated? Report the correlation coefficient. b) What is the strength and the direction of the correlation between education and number and children?
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