Laboratory linear standard-curve fit calculator

Calculate linear fit [slope,intercept,R²] and sample concentrations with your own figures.

Your numbers

Use the units shown. Results update as you change valid inputs.

Use linear fit [slope,intercept,R²] and sample concentrations to compare changes to your inputs. The method and limits below explain the scope.

Examples

Examples

Try the starting example

Linear standard concentrations
0,1,2,4
Standard response readings
0.1,0.6,1.1,2.1
Unknown sample responses
0.85,1.6
Linear fit [slope,intercept,R²]
[0.5,0.1,1]
Sample concentrations
[1.5,3]

Try another scenario

Linear standard concentrations
[0, 1, 2, 4]
Standard response readings
[0.1, 0.6, 1.1, 2.1]
Unknown sample responses
[0.6, 1.1]
Linear fit [slope,intercept,R²]
[0.5,0.1,1]
Sample concentrations
[1,2]
Calculation method

Calculation method

Linear fit [slope,intercept,R²]

OLS response versus concentration.

Sample concentrations

(response−intercept)/slope; reject extrapolation outside measured concentration span.

Symbols and units
a
Linear standard concentrations
b
Standard response readings
c
Unknown sample responses

Use the units shown. A list keeps the order in which you enter its values. The symbol ^ means “raised to the power of”.

Assumptions & limits

Assumptions & limits

  • Supported standard curve: ordinary least-squares linear response. Nonlinear, weighted and logistic assay models require another method; extrapolation is rejected. Quantities are deterministic calculations from supplied observations and assumptions; no external data is fetched. Supported limits: Finite inputs only; numeric fields bounded as labelled. Lists and JSON records are limited to 256 entries unless a stricter tool bound is stated. No automatic design approval, legal conclusion, treatment recommendation or safety certification. Linear standard concentrations: minimum 0, maximum 1000000000000.0. Standard response readings: minimum None, maximum 1000000000000.0. Unknown sample responses: minimum None, maximum 1000000000000.0.
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Further reading

Method reference ↗

Background reading; this does not imply endorsement or independent review of SumFizz.

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