In practice, multivariate statistics come into play in problems which involve uni-variate and multivariate analysis in order to understand the relevance of their inter-relationship to the actual problem. The major use of multivariable analysis is to perform trade studies by simultaneous analysis of effects of all variables on the responses of interest.
In contrast to univariable analysis in which only a single predictor is considered, multivariable analysis has multiple predictors. Predictions made using multivariable regression analysis are based on the combined predictive effort of predictors.
Example: Multivariable Analysis has many uses viz. –
Analysis of concepts with haphazard scenarios
Alternatives’ Analysis – especially for fulfilling customer needs
Inverse Design – treating any variable as independent
Capability Design – capability based design
Identification of critical design drivers and correlations across hierarchical levels