Selected article for: "correlation coefficient and regression equation"

Author: Pei Wang; Junan Lu; Yanyu Jin; Mengfan Zhu; Lingling Wang; Shunjie Chen
Title: Epidemiological characteristics of 1212 COVID-19 patients in Henan, China
  • Document date: 2020_2_23
  • ID: 1mxjklgx_37
    Snippet: For the 18 regions, we investigate the correlation between the currently total numbers of confirmed patients (Y ) with X 1 − X 4 respectively. The heatmap of the correlation matrix is shown in Fig.4C . It reveals that Y has the highest correlation with X 1 , the Pearson correlation coefficient between the two is 0.9643, the fitted regression equation [35] is Y = 1.8146X 1 + 9.0920......
    Document: For the 18 regions, we investigate the correlation between the currently total numbers of confirmed patients (Y ) with X 1 − X 4 respectively. The heatmap of the correlation matrix is shown in Fig.4C . It reveals that Y has the highest correlation with X 1 , the Pearson correlation coefficient between the two is 0.9643, the fitted regression equation [35] is Y = 1.8146X 1 + 9.0920.

    Search related documents:
    Co phrase search for related documents