Robust Multivariate Correlation Techniques: A Confirmation Analysis using Covid-19 Data Set

Robust multivariate correlation techniques are proposed to determine the strength of association between two or more variables interest since existing susceptible outliers when data set contains random outliers. The performances were compared with conventional techniques. All under study applied on COVID-19 sets for Malaysia and Nigeria level which confirmed, discharged, death cases. These techniques’ evaluated based (R), coefficient determination (R^2), Adjusted R^2. showed R=0.99 methods that R ranges from 0.44 0.73. R^2 0.98 0.97 while equals 0.53, 0.44, 0.19 whereas 0.52, 0.43, 0.18, respectively. strongly affirmed any patient be discharged die Covid-19, must confirmed Covid-19 positive, method moderate very weak affirmation. Based results, robust show a strong than