The formula for simple linear regression is Y = mX + b, where Y is the response (dependent) variable, X is the predictor (independent) variable, m is the estimated slope, and b is the …

For a quick simple linear regression analysis, try our free online linear regression calculator. Interpreting a simple linear regression model Remember the y = mx+b formula for a line from …

Navigation: REGRESSION WITH PRISM 10 > Simple linear and simple logistic regression with Prism > Results of simple linear regression. Analysis checklist: Simple linear regression

If you really want to know a value for r 2, use nonlinear regression to fit your data to the equation Y=slope*X. Prism will report r 2 defined the first way (comparing regression sum-of-squares to …

Simple linear regression fits a straight line through your data to find the best-fit value of the slope and intercept. Simple logistic regression estimates the probability of obtaining a “positive” …

Navigation: REGRESSION WITH PRISM 10 > Nonlinear regression with Prism > Models (equations) built-in to Prism > Lines. Equation: Segmental linear regression

The model for simple logistic regression is written logit[P(Y=1)] = β0 + β1 * X + error. On the right-hand side, this matches the model for simple linear regression (remember the simple linear …

This guide will walk you through the process of performing simple logistic regression with Prism. Logistic regression was added with Prism 8.3.0

Learn how to perform regression analysis when you have two groups, say treatment and control, and learn to test for differences between the two regression models

Prism's collection of "Lines" equations includes those that let you fit nonlinear models to graphs that appear linear when the X axis is logarithmic, the Y axis is logarithmic, or both axes are …