Test Statistic For Correlation Coefficient. The pearson correlation coefficient is used to measure the strength of a linear association between two variables where the value r 1 means a perfect positive correlation and the value r 1 means a perfect negataive correlation. So for example you could use this test to find out whether people s height and weight are correlated they will be.
69 testing the significance of the correlation coefficient. The p value is the combined area in both tails. We decide this based on the sample correlation coefficient latex text r latex and the sample size latex text n latex.
The sample data are used to compute r the correlation coefficient for the sample if we had data for the entire population we could find the population correlation coefficient.
There are least two methods to assess the significance of the sample correlation coefficient. The output tells us that the probability of getting a test statistic smaller than 35 39 is greater than 0 999. There are least two methods to assess the significance of the sample correlation coefficient. 69 testing the significance of the correlation coefficient.
