If a Pearson r is 0.14 between two tests, what is the correlation between the two?
The correlation is 0.14. The Pearson r is the correlation coefficient and is a measure of correlation, which can be positive or negative. The closer the correlation is to 0, the weaker it is. The closer to +1 or -1, the stronger it is. If you have a correlation of +1 or -1, then this is considered a perfect positive or negative correlation.
I hope this helps.
In case you don't already know this, with a positive (+) correlation, both variables tend to increase/decrease together. With a negative (-) correlation, one variable increases, while the other decreases.
I hope this helps a little more. Thanks for asking.
To calculate the correlation between two variables given the Pearson correlation coefficient (r), you can use the following formula:
correlation = r * sqrt(1 - r^2)
In this case, the Pearson r is 0.14. Therefore, you can calculate the correlation as:
correlation = 0.14 * sqrt(1 - 0.14^2)
To make the calculation easier, let's break it down:
correlation = 0.14 * sqrt(1 - 0.0196)
correlation = 0.14 * sqrt(0.9804)
correlation = 0.14 * 0.9902
correlation ≈ 0.1383
So, the correlation between the two tests is approximately 0.1383.