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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.