Selected article for: "independent variable and linear regression model"
Author: Jianfeng Li; Linyuan Zhang; Zhihua Ren; Caihong Xing; Peihuan Qiao; Bing Chang
Title: Meteorological factors correlate with transmission of 2019-nCoV: Proof of incidence of novel coronavirus pneumonia in Hubei Province, China
  • Document date: 2020_4_3
    • ID: lmjaldcs_36
    Snippet: (3) Unary linear regression prediction is a method to establish the linear regression equation of X and Y for prediction according to the correlation between independent variable X and dependent variable Y. If linear regression results cannot be obtained, generalized linear regression is considered. The extension of the linear model of the generalized linear model is to establish the relationship between the mathematical expectation value of the .....
    Document: (3) Unary linear regression prediction is a method to establish the linear regression equation of X and Y for prediction according to the correlation between independent variable X and dependent variable Y. If linear regression results cannot be obtained, generalized linear regression is considered. The extension of the linear model of the generalized linear model is to establish the relationship between the mathematical expectation value of the response variable and the prediction variable of the linear combination through the link function. Its feature is that it does not forcibly change the natural measurement of data, and the data can have nonlinear and non-constant variance structure, it is a development of linear model when studying non-normal distribution of response value and simple and direct linear transformation of nonlinear model. However, linear regression results are easy to explain natural processes of respiratory infectious diseases caused by viruses and are of great significance. (Kim et al., 2016; Lim et al., 2012; Souza et al., 2012; Onozuka et al., 2009) .

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