Development of n-variable Regression Model

Krishna Kumar Chaudhary; Anjay Kumar Mishra

Krishna Kumar Chaudhary PhD Scholar, OPJS University, Churu, Rajasthan, India; Assistant Professor, Madan Bhandari Memorial Academy Nepal, Urlabari 3, Morang, Nepal.
Anjay Kumar Mishra Post Doctoral Research Scholar, Srinivas University, India; Associate Professor, Madan Bhandari Memorial Academy Nepal, Urlabari3, Morang, Nepal.

Abstract

Regression is one of the most applied models for forecasting dependent variable based on known independent variable. The article introduces regression as existence of relationship between dependent and one or more independent variables. The researcher generalizes regression of three variables to n-variable by induction method with the help of cofactor of a matrix, so that it will assist to the predictor and estimator to estimate and predict dependent variable with the help of independent variables. The required regression equation for n variable can be expressed as

+

Where , , , , and are cofactors of n-variable correlation coefficient matrix where next that sigma denotes the standard deviation of the individual variable. This is highly significant for forecasting. so, its algorithm should be introduced in computing system after empirical validation.

How to cite this article:
Chaudhary KK, Mishra AK. Development of n-variable Regression Model. J Adv Res Appl Math Stat 2021; 6(1&2): 1-3.

DOI: https://doi.org/10.24321/2455.7021.202101

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