The data in the table and chart above was extracted from the world bank public data.Correlation was calculated using "Pearson's correlation", Quote from Wikipedia:
Pearson product-moment correlation coefficient is a measure of the correlation (linear dependence) between two variables X and Y, giving a value between +1 and -1 inclusive. It is widely used in the sciences as a measure of the strength of linear dependence between two variables. The correlation coefficient ranges from -1 to 1. A value of 1 implies that a linear equation describes the relationship between X and Y perfectly, with all data points lying on a line for which Y increases as X increases. A value of -1 implies that all data points lie on a line for which Y decreases as X increases. A value of 0 implies that there is no linear correlation between the variables.
The table below is an†Interpretation of the degree of correlation between two variables:
|None||-0.09 to 0.0||0.0 to 0.09|
|Small||-0.3 to -0.1||0.1 to 0.3|
|Medium||-0.5 to -0.3||0.3 to 0.5|
|Strong||-1.0 to -0.5||0.5 to 1.0|
The correlation between the¬†percentage of girls to boys in primary and secondary education¬†and¬†women’s fertility rate¬†equals to -0.61 indicating high negative correlation between the two indicators. In other words, revealing that countries having a higher percentage of females in primary secondary school tend to have lower fertility rate.