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Statistical Reference Guide
Fit model
Linear fit
Plotting main effects and interactions
Plot the main effects and interactions to interpret the means.
Activate the analysis report worksheet.
On the
Analyse-it
ribbon tab,
in the
Terms
group, click
Effect Means
.
The analysis task pane
Effect Means
panel opens.
To show main effect plots for each factor, click the
Main effect plots
check box.
To show interaction effect plots for each 2-way interaction and up to a single 3-way interaction, click the
Interaction effect plots
check box.
To show the means plot for individual terms, in the
Individual effects
list box, select the individual term check boxes, and then select the
Means plot
check box.
To show the means table for individual terms, in the
Individual effects
list box, select the individual term check boxes, and then select the
Means
check box.
Note:
For convenience, the
Means
and
Means plot
options apply to all selected
Individual effects
.
Click
Recalculate
.
Related concepts
Effect means
Available in Analyse-it Editions
Standard edition
Method Validation edition
Quality Control & Improvement edition
Ultimate edition
What is Analyse-it?
What's new?
Administrator's Guide
User's Guide
Statistical Reference Guide
Distribution
Compare groups
Compare pairs
Contingency tables
Correlation and association
Principal component analysis (PCA)
Factor analysis (FA)
Item reliability
Fit model
Linear fit
Simple regression models
Fitting a simple linear regression
Advanced models
Fitting a multiple linear regression
Performing ANOVA
Performing 2-way or higher factorial ANOVA
Performing ANCOVA
Fitting an advanced linear model
Scatter plot
Summary of fit
Parameter estimates
Effect of model hypothesis test
ANOVA table
Predicted against actual Y plot
Lack of Fit
Effect of terms hypothesis test
Effect leverage plot
Effect means
Plotting main effects and interactions
Multiple comparisons
Multiple comparison procedures
Comparing effect means
Residual plot
Residuals - normality
Residuals - independence
Plotting residuals
Outlier and influence plot
Identifying outliers and other influential points
Prediction
Making predictions
Making inverse predictions
Saving variables
Logistic / Probit fit
Study design
Method comparison / Agreement
Measurement systems analysis (MSA)
Reference interval
Diagnostic performance
Survival/Reliability
Control charts
Process capability
Pareto analysis
Study Designs
Bibliography
Version 6.15
Published 18-Apr-2023
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