The weight can be given to dependent variable in fitting to reduce the influence of the high leverage points. Parameters are estimated using a weighted least-square method. In addition, multiple linear regression can be used to study the relationship between several predictor variables and a response variable.Īnalysis: Fitting: Fit Linear with X ErrorĪnalysis: Fitting: Multiple Linear Regression Linear and polynomial regression calculate the best-fit line for one or more XY datasets. 4 Advanced: Linear fit for nonlinear model.2.2.3 To identify the outliers in fitting process.
2.2.2 To perform multiple linear regression with boundary or constraint.2.2.1 To force fit curve through specified point.2.1.4 To define the x data type for the fitted curve plot.2.1.3 To perform linear/polynomial fit on a graph according to current axis settings.2.1.2 To perform linear/polynomial fit with parameters fixed.2.1.1 To perform linear regression on data with X/Y Error.
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