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Discriminant Analysis is a statistical methodology used to identify factors or explanatory variables that are most influential in the dependent variable. It is also called factor analysis or principal component analysis. The method of discriminant analysis is widely used to identify relationships among the independent and dependent variables. It is also commonly applied in occupational, gender, educational, economic, health, and other multivariate analysis to construct classification structures, classify populations, and predict variables. great site I have worked as a website content writer for several years. I have written on different niches like
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“Discriminant analysis is a useful statistical method used for selecting among several categories, making predictions on new observations, or for testing null hypotheses. The Discriminant Analysis is a nonlinear predictive technique for discriminating between two groups, based on a linear combination of some variables. websites The approach uses linear regression, a multivariate statistical tool for making predictions, or models for prediction. Discriminant analysis is a subset of supervised and unsupervised learning problems in Statistics and Machine Learning. Discriminant analysis is also used in medical fields for diagnosis, drug selection,
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Discriminant Analysis assignment help Discriminant Analysis is an important tool for data analysis. In statistics, discriminant analysis is used to separate the dependent variable (y) based on independent variable (x). Here, we will focus on the method. Discriminant Analysis is based on the assumption that the independent variable (x) explains the variance of the dependent variable (y) and the explanatory variable (x) has no significant association with the dependent variable (y). The technique involves identifying the direction of the correlation between the two variables, or