ABSTRACT
In the study of realistic problems, the change of the dependent variable is often affected by several important factors. At the same time, it is necessary to use two or more influencing factors as independent variables to explain the change of the dependent variable. This paper combines the mathematical model of multiple linear regression, and uses the least squares method to perform unbiased estimation of the regression coefficients. The theoretical equations and properties of the unbiased estimation are obtained, and the unbiasedness of the least square estimator of the multiple linear regression model is proved. The advantages of multiple linear regression models are discussed and analyzed.
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