REGRESSION AND LEAST SEQURE METHOD AND ITS PROPERTIES
DOI:
https://doi.org/10.59743/jbs.v33i1.172Abstract
Regression is a statistical tool for the investigation of relationships between variables. Usually, the investigator seeks to ascertain the casual effect of one variable upon another. Regression methods are meant to determine the best functional relationship between a dependent variable Y with one or more independent variables X .The earliest form of regression was the method of least squares, which was published by Legendre in 1805 and by Gauss in 1809. Legendre and Gauss both applied the method to the problem of determining, from astronomical observations, the orbits of bodies about the Sun. Gauss published a further development of the theory of least squares in 1821.The term “regression” was coined by Sir Francis Galton , while studying the linear relationship between heights of sons and heights of their fathers
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