Linear regression is used to model the relationship between two variables and estimate the value of a response by using a line-of-best-fit. This calculator is built for simple linear regression, …

This model equation gives a line of best fit, which can be used to produce estimates of a response variable based on any value of the predictors (within reason).

In this case, Prism will determine only the best-fit slope, as the intercept will be fixed. Use this option when scientific theory tells you that the line must go through a particular point (usually …

With a consistently clear, practical, and well-documented interface, Prism gives you the controls you need to fit your data. In addition to offering an extensive library of prebuilt nonlinear …

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” …

At the bottom of the results page, the slope and intercept are reported again in the form of the equation that defines the best-fit line. You can copy this equation and paste onto a graph, or …

Prism's linear regression analysis fits a straight line through your data, and lets you force the line to go through the origin. This is useful when you are sure that the line must begin at the origin …

There is no linear relationship between X and Y, and the best-fit line is a horizontal line going through the mean of all Y values. When r2 equals 1.0, all points lie exactly on a straight line …

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 …

How to fit one line to two ... - GraphPad Prism 10 Curve Fitting Guide If you are fitting a line, share both the slope and also the intercept. "Sharing" means that Prism fits one best-fit value for all …