A researcher is interested in the relationships between variables in a demographic information dataset. Pearson correlations are presented below: number of children. age in years yearly income in $1000s years of schooling Pearson Correlation Sig. (2-tailed) N Pearson Correlation Sig. (2-tailed) N Pearson Correlation Sig. (2-tailed) N Correlations number of children Pearson Correlation Sig. (2-tailed) N **. Correlation is significant at the 0.01 level (2-tailed). 1 30 -.323 .081 30 -.246 .189 30 -.003 .986 30 age in years -.323 .081 30 1 30 .521** .003 30 -.057 .764 30 yearly income in $1000s -.246 .189 30 .521** .003 30 1 30 .528** .003 30 years of schooling -.003 .986 30 -.057 .764 30 .528** .003 30 1 The older one is, the more children they have. What is the correct conclusion for the correlation between age in years and number of children? There is no significant relationship between age and number of children. 30 The older one is, the less children they have. O There is a significant relationship between number of children and age.
A researcher is interested in the relationships between variables in a demographic information dataset. Pearson correlations are presented below: number of children. age in years yearly income in $1000s years of schooling Pearson Correlation Sig. (2-tailed) N Pearson Correlation Sig. (2-tailed) N Pearson Correlation Sig. (2-tailed) N Correlations number of children Pearson Correlation Sig. (2-tailed) N **. Correlation is significant at the 0.01 level (2-tailed). 1 30 -.323 .081 30 -.246 .189 30 -.003 .986 30 age in years -.323 .081 30 1 30 .521** .003 30 -.057 .764 30 yearly income in $1000s -.246 .189 30 .521** .003 30 1 30 .528** .003 30 years of schooling -.003 .986 30 -.057 .764 30 .528** .003 30 1 The older one is, the more children they have. What is the correct conclusion for the correlation between age in years and number of children? There is no significant relationship between age and number of children. 30 The older one is, the less children they have. O There is a significant relationship between number of children and age.
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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Transcribed Image Text:A researcher is interested in the relationships
between variables in a demographic information
dataset. Pearson correlations are presented below:
number of children
age in years
Pearson Correlation
Sig. (2-tailed)
N
Pearson Correlation
Sig. (2-tailed)
N
Pearson Correlation
Sig. (2-tailed)
N
Pearson Correlation
Sig. (2-tailed)
N
**. Correlation is significant at the 0.01 level (2-tailed).
yearly income in
$1000s
Correlations
years of schooling
number of
children
1
30
-.323
.081
30
-.246
.189
30
-.003
.986
30
age in years
-.323
.081
30
1
30
.521**
.003
30
-.057
.764
30
yearly
income in
$1000s
-.246
.189
30
.521**
.003
30
1
30
.528"
.003
30
years of
schooling
-.003
.986
30
-.057
.764
30
The older one is, the more children they have.
The older one is, the less children they have.
.528
.003
30
1
What is the correct conclusion for the correlation
between age in years and number of children?
There is no significant relationship between age
and number of children.
30
O There is a significant relationship between number
of children and age.
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