Analysis of variance (ANOVA)

Analysis of variance (ANOVA) icon

Model an Analysis of Variance (ANOVA) between a numeric response variable and one or more predictor variables.

Details

This module computes an Analysis of Variance (ANOVA), modelling one dependent variable against one or more independent variables. ANOVA is often used in order to test the differences between two or more means.

Whilst the ANOVA model will inform you whether at least one of the population means is different from at least one other mean, it will not tell you which mean is different which. For this, Tukey Honest Significant Difference (TukeyHSD) should be used upon the ANOVA model.

Output

An example ouput image for the Analysis of variance (ANOVA) module is coming soon.

Parameters

 

Variable name Required Constraints Description
outcome_var Yes Column with data type one of:

Decimal, Integer

The dependent variable to be modeled by the selections in model_var1, model_var2, ...
model_var1 Yes Any column other than the column chosen for outcome_var. The first independent variable or predictor variable to include in the modeled ANOVA.
model_var2 No Any column other than the column chosen for outcome_var. An optional second predictor variable.
model_var3 No Any column other than the column chosen for outcome_var. An optional third predictor variable.
model_var4 No Any column other than the column chosen for outcome_var. An optional fourth predictor variable.
model_var5 No Any column other than the column chosen for outcome_var. An optional fifth predictor variable.

See Also

Updated on February 7, 2019

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