Abstract
Height and weight prediction has been a popular problem in ergonomics study. In this paper, we reduce the dimension by principal component analysis and choose the best regression equation using various statistical criterion such as Residual Mean Square (RMSq), Mallow Cp and Akaike information criterion (AIC). Finally, compared with the real value, we analyze the fitting accuracy of the regression equation we proposed.
Cite
CITATION STYLE
Zhang, X., Zhao, C., Wang, H. T., Zhang, F., Zhao, J., & Wu, G. (2018). A Regression Equation Model for Height and Weight Prediction. In Journal of Physics: Conference Series (Vol. 1087). Institute of Physics Publishing. https://doi.org/10.1088/1742-6596/1087/2/022018
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