Evaluating Prediction Factor Prominence in Academic Domain Selection using Dominance Analysis – Ministry of Higher Education (MoHE),

Abstract:- This paper, advocates on a broader use of relative prominence keys as an appendage to multiple regression analysis. The goal of such analysis is to screen the variance among multiple predictors to realize the role played by each predictor in a regression equation. Dominance Analysis is a method to evaluate the relative prominence of the prognosticators. Regrettably, when predictors are correlated, they totally trust on metrics which are flawed indicators of variable importance. Furthermore, the key benefits of two relative prominence analyses, dominance analysis and relative weight analysis, over estimates produced by multiple regression analysis. Here, this investigation helps us to evaluate the importance of the prediction factors involved in determining the criteria’s for domain selection of the students. A mockup study was conducted to evaluate the performance of the proposed actions and develop commendations. Index Terms — Predictor prominence, weight analysis