Standard Curves with Correlated Errors Options
See Also
This dialog allows you to specify output and options for fitting a standard curve with correlated errors. You can also request that no constant term is included in the model: this will affect only the parameterization of factor effects, if there are factors in the model; but if not, it will constrain the regression to pass through the origin.

Display

Modeldetails of the model that is fitted
Summarysummary analysis-of-variance
F-probabilitiesF probabilities for variance ratios
Correlationscorrelations between the parameter estimates
Phithe estimated value of the correlation phi, together with a test for phi=0
Estimatesestimates of the parameters in the model
Fitted Valuestable containing the values of the response variate, the fitted values, standardized residuals and leverages
Accumulatedanalysis of variance table containing a line for each change in the fitted model
Monitoring Estimation of Phiprovides monitoring information for the estimation of phi

Graphics

Plot Residualsdiagnostic plots of the residuals
Plot Fitted Modelplot of the fitted model
Plot Likelihood of Phiplots the likelihood for phi

Estimate Constant Term

Specifies whether to include a constant in the regression model. In simple linear regression this omits the intercept, in other words the fitted line is constrained to pass through the origin. In nonlinear regression (curve fitting) the constant term usually represents an asymptote, and omitting the constant fixes the asymptote at 0; to constrain the curve to pass through the origin you should set the Constrain Origin option.

Constrain Origin

Constrains a nonlinear regression to pass through the origin, i.e. to have a response of 0 for zero in the explanatory variate. This can only be used with exponential and rational curves.

Weights

A variate that can be used to allow data units to have unequal weights. The name of the variate can be entered into the space provided or double-clicked across from the list of available data.

Maximum iterations to estimate phi

Specifies the maximum number of iterations (default 100) used to estimate phi.

Action Buttons

OKSave the option settings and close the dialog.
CancelClose the dialog without making any changes.
DefaultsReset the options to their default settings.

See Also