Two-way analysis of variance

In statistics, the two-way analysis of variance (ANOVA) is used to study how two categorical independent variables affect one continuous dependent variable. It extends the One-way analysis of variance (one-way ANOVA) by allowing both factors to be analyzed at the same time. A two-way ANOVA evaluates the main effect of each independent variable and if there is any interaction between them.

Researchers use this test to see if two factors act independent or combined to influence a Dependent variable. It is used in the fields of Psychology, Agriculture, Education, and Biomedical research. For example, it can be used to study how fertilizer type and water level together affect plant growth. The analysis produces F-statistics that indicate whether observed differences between groups are statistically significant.

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