Comparing discriminant analysis and linear regression analysis to predict the alcohol consumption by high school students




Hamal, Tamanna

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The purpose of the study is to compare the Discriminant Analysis and Linear Regression Analysis to predict the correlation between alcohol consumption by high school students and their social attributes and grades. Discriminant Analysis, developed by R. A. Fisher in 1936, is a statistical technique used to determine which variables discriminate between two or more mutually exclusive naturally occurring groups.

Linear Regression Analysis is the most widely used statistical technique where straight lines are fitted to patterns of data. In this model, the dependent variable, the variable of interest, is predicted from independent variables using a linear equation. Even though the earliest form of linear regression was the Method of Least Squares, which was published by Legendre in 1805, and by Gauss in 1809, the term regression was pioneered by Sir Francis Galton. Regression analysis is the process of finding out the relationship between one or more dependent variables and the independent variables.



Pure sciences, Analysis, Discriminant, Linear regression, SPSS