Determining Se and r2

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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.

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Determining Se and r2

Using the slope (b), which is 0.766 and intercept (a), which is 6.276, calculated on the previous page, we can calculate the Standard Error of Estimate:

Se = 3.65

The correlation coefficient can also be calculated, using the totals of the columns:
r2 = 0.615 shows that the data have some linear relationship. However, there is also some scatter.