The Loglinear Variance Fit red triangle menu contains the following options:
Save Columns
Contains the following options to save columns to the data table.
Prediction Formula
Creates a new column called Mean. The new column contains the predicted values for the mean, as computed by the specified model.
Variance Formula
Creates a new column called Variance. The new column contains the predicted values for the variance, as computed by the specified model.
Std Dev Formula
Creates a new column called Std Dev. The new column contains the predicted values for the standard deviation, as computed by the specified model.
Residuals
Creates a new column called Residual that contains the residuals, which are the observed response values minus predicted values. See Example of Examining the Residuals in a Loglinear Variance Model.
Studentized Residuals
Creates a new column called Studentized Resid. The new column values are the residuals divided by their standard error.
Std Error of Predicted
Creates a new column called Std Err Pred. The new column contains the standard errors of the predicted values.
Std Error of Individual
Creates a new column called Std Err Indiv. The new column contains the standard errors of the individual predicted values.
Mean Confidence Interval
Creates two new columns, Lower 95% Mean and Upper 95% Mean. The new columns contain the bounds for a confidence interval for the prediction mean.
Indiv Confidence Interval
Creates two new columns, Lower 95% Indiv and Upper 95% Indiv. The new columns contain confidence limits for individual response values.
Row Diagnostics
Contains the following options to plot row diagnostics.
Plot Actual by Predicted
Plots the observed values by the predicted values of Y. This is the leverage plot for the whole model.
Plot Studentized Residual by Predicted
Plots the Studentized residuals by the predicted values of Y.
Plot Studentized Residual by Row
Plots the Studentized residuals by row.
Profilers
Opens the Profiler, Contour Profiler, or Surface Profiler. Use the Profiler, Contour Profiler, or Surface Profiler to gain further insight into the fitted model. See “Factor Profiling”.
Model Dialog
Shows the completed launch window for the current analysis.
See Local Data Filters in JMP Reports, Redo Menus in JMP Reports, Save Platform Preferences, and Save Script Menus in JMP Reports in Using JMP for more information about the following options:
Local Data Filter
Shows or hides the local data filter that enables you to filter the data used in a specific report.
Redo
Contains options that enable you to repeat or relaunch the analysis. In platforms that support the feature, the Automatic Recalc option immediately reflects the changes that you make to the data table in the corresponding report window.
Platform Preferences
Contains options that enable you to view the current platform preferences or update the platform preferences to match the settings in the current JMP report.
Save Script
Contains options that enable you to save a script that reproduces the report to several destinations.
Save By-Group Script
Contains options that enable you to save a script that reproduces the platform report for all levels of a By variable to several destinations. Available only when a By variable is specified in the launch window.