With regular weighted nonlinear regression (which Prism can do), you only have to know the relative weights. It is enough to know that the standard deviation of the scatter is proportional (for example) to the Y
Muir KT (1980) Non-linear least squares regression analysis in pharmacokinetics: application of a programmable calculator in model parameter estimation. Comput Biomed Res 13: 307–316I Muir KT: Nonlinear least-squares regression analysis in pharmacokinetics: application of a programmable calculator in ...
The linear model with the quadratic reciprocal term and the nonlinear model both beat the other models. These top two models produce equally good predictions for the curved relationship. However, the linear regression model with the reciprocal terms also produces p-values for the predictors (all si...
Using your Calculator To get the scatter plot we inputted x-values into L1 and the y-values into L2 To change the y-values into logs we go to the top of L3 and hit LOG(L2) ENTER and then use LINREG to find a and b (first part of the slide after next) Or a simpler way yet,...
Measurements of oxygen concentration versus PO2 in blood from 33 normal adults were fitted, using a special nonlinear regression analysis, to the Hill equation to obtain the parameters describing the position (P50) and shape (n) of each oxygen-hemoglobin equilibrium curve (OHEC). Data between 20...
c. a nonlinear model d. deterministic model Linear Regression: A regression model estimates the algebraic association of study variable with two or more predictor variables. The parameters in the model, called the regression coefficients, ...
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