Each of these three nutrients intake increases with increasing values of the remaining two.
The results above suggest that protein, iron, and calcium are all positively associated. Generally, we look for the strongest correlations first. Here we can see that the correlation between each of the variables and themselves are all equal to one, and the off-diagonal elements give the correlation between each of the pairs of variables. The sample correlations are included in the table below. Note that, the covariances are all positive, indicating that the daily intake of each nutrient increases with increased intake of the remaining nutrients.The variance-covariance matrix is also copied into the matrix below. Skill in interpreting the statistical analysis depends very much on the researcher's subject matter knowledge. However, whether the standard deviations are relatively large or not, will depend on the context of the application. This would indicate a high variability among women in nutrient intake. Notice that the standard deviations are large relative to their respective means, especially for Vitamin A & C.
A summary of the descriptive statistics is given here for ease of reference.
