![]() After fitting, the model is evaluated using hypothesis tests and plots of residuals. 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. ![]()
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