Analysis of Covariance (ANCOVA)

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ANCOVA

This utility can be used to test whether more than two sample means are equal or otherwise, while controlling for a covariate. (Null hypothesis: All sample means are equal after controlling for a covariate. Alternate hypothesis: At least two of the sample means are significantly different after controlling for a covariate.)

Method used and other details
Enter observations in the boxes, one below other.
Observations can also be copied from other sources and pasted here. Copy all three columns (first column: Dependent variable, second column: Independent variable, third column: Covariate) in one go, and paste them below.

First Column: Dependent variable, Second Column: Independent Variable, third column: Covariate


Significance level \ Type I error (alpha) %%

Reference Category of Independent Variable (alphabetical):          


@Sachin Mumbare