Home Products Most Popular Contact
No items in your cart.
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) »
How to Subscribe
MLS & MLT Comprehensive CE Package
Includes 123 CE courses, most popular
$95 Add to cart
Pick Your Courses
Up to 8 CE hours
$50 Add to cart
Individual course$20 Add to cart

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 = 3.66

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.