Correlation Coefficient

How to Subscribe
MLS & MLT Comprehensive CE Package
Includes 176 CE courses, most popular
$109Add to cart
Pick Your Courses
Up to 8 CE hours
$55Add to cart
Individual course$25Add to cart
Need multiple seats for your university or lab? Get a quote
The page below is a sample from the LabCE course Linear Regression Analysis. Access the complete course and earn ASCLS P.A.C.E.-approved continuing education credits by subscribing online.

Learn more about Linear Regression Analysis (online CE course)
Correlation Coefficient

Another measure of the quality of fit is the correlation coefficient, r2. To calculate the correlation coefficient, square the total of the (x-)(y-) column, and divide by the total of the (x-)2 and the total of the (y-)2 column. The formula is:
r2 equals 1 if the data all lie exactly along a straight line, and r2 equals 0 if the data are not correlated. Values between 1 and 0 indicate that the data have some linear relationship, but also have some scatter. Data with an r2 of above .8 are considered strongly correlated.