Abstract:When constructing regression models describing the storage processes of agricultural products, researchers often ignore the effect of multicollinearity factors (the multicollinearity factor effect). In this case, the interpretations of the estimates of the regression model parameters are not adequate. It is suggested to perform multicollinearity diagnostics as one of the steps of the regression analysis. In the case of correlation of factors, it is proposed to construct a regression model by regularizing the L… Show more
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