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, …

Graphing linear regression. Since a linear regression model produces an equation for a line, graphing linear regression’s line-of-best-fit in relation to the points themselves is a popular way …

Graphing the regression line. When Prism performs simple linear regression, it automatically superimposes the line on the graph. If you need to create additional graphs, or change which …

Straight lines on graphs with logarithmic axes. The nonlinear regression analysis fits the data, not the graph. Since Prism lets you choose logarithmic axes, some graphs with data points that …

The regression lines (and bands) are data sets that you can add to any graph by drag-n-drop or using the Change menu from the graph. So go to the graph with the first regression line, and …

Prism can fit standard curves using nonlinear regression (curve fitting), linear regression, or a cubic spline (or LOWESS) curve. This article shows how to find "unknown" concentrations …

Writing an equation of a curve or line on the graph Prism does not automatically write equations on the graph. You can see the numerical results of linear or nonlinear regression by going to …

Graphing the results of multiple regression

regression line. If you want a best-fit line, choose linear regression. Correlation vs. linear regression Correlation and linear regression are not the same. Consider these differences: …

Prism (and most other nonlinear regression programs) uses the method of Marquardt and Levenberg, which blends two other methods, the method of linear descent and the method of …