# Analysis of Covariance

Analysis of Covariance (generally called ANCOVA) is a strategy that sits concerning analysis of deviation and regression analysis.

It has quite a few purposes but both that are, possibly, of most significance are:**1)** To increase the precision associated with comparisons between groups by accounting to be able to variation on important prognostic variables.**2)** To "adjust" reviews between groups intended for imbalances in important prognostic variables concerning these groups. One of the key assumptions of ANCOVA will be the requirement for homogeneity associated with regression slopes. ANCOVA can be used to explore the impact of covariates on one outcome. ANCOVA can be employed in a wide range of contexts: we can ‘filter out’ error variance; we can investigate pre-test vs. post-test effects; and we can manage for variables statistically once we have not been able to accomplish this physically.