Analysis of Covariance for 2 Independent Samples
The logic and computational details of the one-way
independent-samples ANCOVA are described
in Chapter 17 of Concepts and Applications.

This page will perform an analysis of covariance for two independent samples, A and B, where Procedure: For each sample, enter the paired values of CV and DV in the cells of the designated columns, beginning in the top-most cell of each column. Within any particular column, pressing the "tab" key will take you down to the next cell in the column. After all data have been entered, click the "Calculate" button. ~~ If you wish to perform another analysis with a different set of data: click the "Reset" button if the value of n for the largest of your new samples is or smaller; click the "Reload" button if the value of n for the largest of the new samples is greater than .

Data Entry:
  CV = concomitant variable
  DV = dependent variable
Levels of Independent Variable
Sample A Sample B
count CV DV CV DV

Dependent Variable
Sample Total
Observed Means
Adjusted Means

Aggregate Correlation within Samples: CV vs DV
r =
r2 =

Source SS df MS F P
adjusted means
adjusted error
adjusted total

Test for homogeneity of regressions:
Source SS df MS F P
adjusted error

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