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You can interpolate from any curve fit through a set of standards. However, the equations listed below are used most commonly. These equations are instantly available from the interpolation analysis. You'll also find this set of equations in the equation tree used in nonlinear regression.


These graphs show the curve going up (increasing Y) as X increases. But all will work for downward sloping curves too.

All of these equations (except Pade) are also present in other equation folders in the nonlinear regression dialog.

Sigmoidal, 4PL, X is log(concentration)

Note that in nonlinear regression this equation is called "log(agonist) vs. response -- Variable slope"

Sigmoidal, 4PL, X is concentration

Note that in nonlinear regression this equation is called "[Agonist] vs. response -- Variable slope"

Asymmetric Sigmoidal, 5PL, X is log(concentration)

Note that in nonlinear regression this equation is called "Asymmetrical (five parameter), X is log(concentration)"

Asymmetric Sigmoidal, 5PL, X is concentration

Note that in nonlinear regression this equation is called "Asymmetrical (five parameter). X is concentration"


Straight line

Semilog line -- X is log, Y is linear

Hyperbola (X is concentration)


Padé (1,1) approximant


Second order polynomial (quadratic)

Y=B0 + B1*X + B2*X^2

Third order polynomial (cubic)

Y=B0 + B1*X + B2*X^2 + B3*X^3






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