Correlations


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The following correlations were detected:

  Pearson’s coefficient Significance
Measles immunization and age

0.430

0.000

Measles immunization and age squared

0.325

0.000

Measles immunization and low edu

-0.081

0.018

Height and low education

-0.191

0.000

Height of respondent and sex of the child

0.080

0.023

WAZ and age

-0.191

0.000

WAZ and age squared

-1.330

0.000

WAZ and sex

0.077

0.042

WAZ and measles immunization

-0.186

0.000

WAZ and low education

-0.182

0.000

WAZ and height of respondent

0.210

0.000

 

All correlations show a both the size and direction of the association. The correlations (see the first column- Pearson’s correlation coefficient) are each in the direction expected, with the exception of WAZ and measles immunization. This reason was looked at in detail in the two-way analysis, which showed that age is a confounding factor for measles and WAZ. The solution to uncovering the true relationship is to break the analysis group into smaller age groups for the analysis.  We can begin to see where we will need to watch for collinearity between certain independent variables, such as mother's height and low education. 

It is also helpful to visualize these linear relationships. In order to see the graph of each variable set, the scatterplot function can be used.

 

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