## Introduction

Analysis of Variance (ANOVA) is a hypothesis testing procedure that tests whether two means are significantly different from each other. One-Way MANOVA tests the relationship between a set of numeric variables and a single categorical variable.

This article describes how to go create a One-Way MANOVA Table as shown below in which age is used as the predictor variable and attitudes towards different brands as outcomes - dependent variables.

## Requirements

- A
**Categorical**variable to use as an**Outcome**variable. - A
**Numeric**,**Date**,**Money**,**Categorical,**or**Ordered Categorical**variable to use as a**Predictor**.

## Method

- In the
**Anything**menu select**Advanced Analysis > Analysis of Variance > One-Way MANOVA**. - In the
**object inspector**go to the**Inputs**tab. - In the
**Outcomes**menu select the outcomes variables. - Select the predictor variable from the
**Predictor**list. - OPTIONAL: To compute standard errors that are robust to violations of the assumption of constant variance (ie, heteroscedasticity) select
**Robust standard errors.** - OPTIONAL: If the output returns an error due to missing data, go to the
**Missing Data**menu and select**Exclude Cases with Missing Data**or select**Use Partial Data**. - OPTIONAL: Select
**Variable names**to display Variable names in the output instead of labels. - OPTIONAL: Select
**Categorical as Binary**to convert Categorical outcome variables to binary variables.

## See Also

How to Create a One-Way ANOVA table

How to Create a Table of Means

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