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<p style="text-align:justify"><span style="font-size:16px">In regression analysis it is obvious to have a relation between the response and regressor(s) variables, but having linear relation among regressor variables is an undesired thing. Multicollinearity refers to the linear relation among two or more variables. If this happens, the standard error of the coefficients will increase. It is a data problem that may cause serious difficulty with the reliability of the estimates of the model parameters. Multicollinearity makes some variables statistically insignificant when they should be significant. In this article, we focus on the multicollinearity, reasons, and consequences of the reliability of the regression model.</span></p>
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<p style="text-align:justify"><span style="font-size:16px"><strong>Vaibhav Chittora<sup>*</sup></strong></span></p> <p style="text-align:justify"><span style="font-size:16px"><em>Dr. YSPUHF, Nauni, Solan, Himachal Pradesh (173 230), India</em></span></p> <p style="text-align:justify"><span style="font-size:16px"><strong>Heerendra Prasad</strong></span></p> <p style="text-align:justify"><span style="font-size:16px"><em>Dr. YSPUHF, Nauni, Solan, Himachal Pradesh (173 230), India</em></span></p> <p style="text-align:justify"><span style="font-size:16px"><strong>Prashant Vasishth</strong></span></p> <p style="text-align:justify"><span style="font-size:16px"><em>ICAR-Indian Agricultural Research Institute, Pusa, New Delhi, Delhi (110 012), India</em></span></p> <p style="text-align:justify"><span style="font-size:16px"><strong>Mohit Sharma</strong></span></p> <p style="text-align:justify"><span style="font-size:16px"><em>ICAR-Indian Agricultural Research Institute, Pusa, New Delhi, Delhi (110 012), India</em></span></p>
How to cite
<p style="text-align:justify"><span style="font-size:14px">Chittora, V., Prasad, H., Vasishth, P., Sharma, M., 2022. Multicollinearity: A problem in multiple linear regression. <em>Biotica Research Today</em> 4(6), 426-428.</span></p>
Reference
<p style="text-align:justify"><span style="font-size:16px">Montgomery, D.C., Peck, E.A., Vining, G.G., 2014. Introduction to linear regression analysis. WILEY, Singapore, p. 325.</span></p> <p style="text-align:justify"><span style="font-size:16px">Greene, W.H., 2003. Econometric Analysis. Prentice Hall, New Jersey, p. 56.</span></p> <p style="text-align:justify"><span style="font-size:16px">Gujarati, D.N., 2005. Basic Econometrics. McGraw-Hill, New York, p. 341.</span></p> <p style="text-align:justify"><span style="font-size:16px">Daoud, J.I., 2017. Multicollinearity and Regression Analysis. <em>Journal of Physics: Conf. Ser.</em> 949, 012009.</span></p>
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