Pearson S Correlation Test. The pearson correlation is a parametric measure. The statistical significance test for a pearson correlation requires 3 assumptions.
The following values of r indicate the direction and strength of the association. By extension the pearson correlation evaluates whether there is statistical evidence for a linear relationship among the same pairs of variables in the population represented by a population correlation coefficient ρ rho. There are many assumptions of a pearson correlation test.
There are many assumptions of a pearson correlation test.
The sample is random. Using the original paired data x i y i randomly redefine the pairs to create a new data set x i y i where the i are a permutation of the set 1 n. All of these need to be satisfied before you perform the test. Basically a pearson product moment correlation attempts to draw a line of best fit through the data of two variables and the pearson correlation coefficient r indicates how far away all these data points are to this line of best fit i e how well the data points fit this new model line of best.
