Linear, Logarithmic, Semi-Log Regression Calculator

Linear regression is a type of statistical modeling that attempts to describe the relationship between an independent and dependent variable through use of a linear function. There are many well established methods for determining this linear function. This particular calculator uses the least squares method in order to determine the best fit line.

This calculator will generate four separate linear regression equations and plots. They are as follows:

#NameTypeX AxisY Axis

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How to use this tool:
1. Paste experimental data into the box on the right. Data can be copied directly from Excel columns. Data can also be comma-separated, tab-separated or space-separated values. If entering data manually, only enter one concentration per line.

Replicates can be graphed simultaneously. Graph will generated error bars based on the standard error of the mean (SEM). Simply paste or enter all data columns to begin. Format should be as follows:

ConcentrationResponse 1Response 2...

NEW! Plot up to three data sets!
Users can now graph up to three data sets on the same graph for comparison purposes. To add a new data set, press the "+" tab above the data entry area. Data sets can be renamed by double clicking the tab. Each dataset will generate a corresponding Regression value as well as the equation for the best fit line.

2. Verify your data is accurate in the table that appears.

3. Press the "Calculate Regression" button to display results, including calculations and graph.

Process Data