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The Multivariate analysis of variance (MANOVA) procedure provides regression analysis and analysis of variance for multiple dependent variables by one or more factor variables or covariates. The factor variables divide the population into groups. Using this general linear model procedure, you can test null hypotheses about the effects of factor variables on the means of various groupings of a joint distribution of dependent variables. You can investigate interactions between factors as well as the effects of individual factors. In addition, the effects of covariates and covariate interactions with factors can be included. For regression analysis, the independent (predictor) variables are specified as covariates. Both balanced and unbalanced models can be tested. A design is balanced if each cell in the model contains the same number of cases. In a multivariate model, the sums of squares due to the effects in the model and error sums of squares are in matrix form rather than the scalar form found in univariate analysis. Download AVYAN IAS Learning App now: https://play.google.com/store/apps/de... ----------------------------------------------------------------------- follow us on: 👉 Facebook : / avyanias1 👉 Twitter : / surendr61326060 👉 Instagram : http://instgram.com/avyanias 👉 Telegram : https://t.me/UPSCIASSTUDY ----------------------------------------------------------------------- VISIT US ON OUR WEBSITE: http://avyaniasacademy.com/ ----------------------------------------------------------------------- Contact us: 👉 Landline:- 011-43027121 👉 Ph. 8826081539, 9667877734 ------------------------------------------------------------------------ Disclaimer :- Copyright Disclaimer under Section 107 of the copyright act 1976, allowance is made for fair use for purposes such as criticism, comment, news reporting, scholarship, and research. Fair use is a use permitted by copyright statute that might otherwise be infringing. ---------------------------------------------------------------------- #Avyanias #upsc #ugcnet #manova #regression #analysis #regressionanalysis #phychologyfacts #phychology