Calculator
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:
For technical assistance on using this calculator, please contact websupport@aatbio.com.
This calculator will generate four separate linear regression equations and plots. They are as follows:
| # | Name | Type | X Axis | Y Axis |
| 1 | Linear | Linear | Linear | Linear |
| 2 | Log-Linear | Semi-Log | Logarithmic | Linear |
| 3 | Linear-Log | Semi-Log | Linear | Logarithmic |
| 4 | Log-Log | Log | Logarithmic | Logarithmic |
For technical assistance on using this calculator, please contact websupport@aatbio.com.
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 X-Value per line.
Replicates can be graphed simultaneously. Graph will generate 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:
Users can 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.
Replicates can be graphed simultaneously. Graph will generate 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:
| Concentration | Response 1 | Response 2 | ... |
| C1 | R11 | R21 | ... |
| C2 | R12 | R22 | ... |
| C3 | R13 | R23 | ... |
| ... | ... | ... | ... |
Users can 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.
Data Entry
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Feedback
Have a question or a feature request about this tool? Feel free to reach out to us and let us know! We're always looking for ways to improve!References
This online tool may be cited as follows
MLA | "Quest Graph™ Linear, Logarithmic, Semi-Log Regression Calculator." AAT Bioquest, Inc., 21 Nov. 2024, https://www.aatbio.com/tools/linear-logarithmic-semi-log-regression-online-calculator. | |
APA | AAT Bioquest, Inc. (2024, November 21). Quest Graph™ Linear, Logarithmic, Semi-Log Regression Calculator. AAT Bioquest. https://www.aatbio.com/tools/linear-logarithmic-semi-log-regression-online-calculator. | |
| BibTeX | EndNote | RefMan |
This online tool has been cited in 5 publications, including
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Correlation of Total Phenolic, Flavonoid and Tannin Content of Bryophyllum pinnatum (Lam.)(Crassulaceae) Extract with the Antioxidant and Anticholinesterase Activities
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