The linear correlation coefficient=0.60 and the correlation probability=0.49%.
The linear correlation coefficient has been used to quantify the magnitude of linear correlation.
The null hypothesis of the linear correlation testing is: there is no linear correlation between two variables.
The corresponding linear correlation coefficients of −0.75 and −0.70 suggest reasonably strong negative correlations.
The obtained linear correlation coefficient of −0.38 indicates a weak negative correlation.
So this sort of polynomial is basically, linear regression.
Linear regression fit, coefficient of determination (R2), and Pearson linear correlation coefficient (P), n = 10 independent biological samples.
Linear regression fit, coefficient of determination (R2), and Pearson linear correlation coefficient (P) are shown for each comparison.
The linear regression fit, coefficient of determination (R2), and Pearson linear correlation coefficient (P) are shown for each comparison.
(c) Linear correlation of dCp values of SEC14L3 and FOXJ1 (n = 4 independent experiments).
