Research on predictive control of students’ performance in PE classes based on the mathematical model of multiple linear regression equation

[1] Zhang, S. J. Li, Y. X. Ma, S. B., Yan, H. J. & Mao, H. E. Optimization on key parameters for the metal deformation of rapid shear extrusion bonding. Journal of Plasticity Engineering, 24(3) (2017), 69–77. ZhangS. J. LiY. X. MaS. B. YanH. J. MaoH. E. Optimization on key parameters for the metal deformation of rapid shear extrusion bonding Journal of Plasticity Engineering 24 3 2017 69 77 Search in Google Scholar

[2] Shaofei Wu, Jun Liu, Lizhi Liu. Modeling method of internet public information data mining based on probabilistic topic model, The Journal of Supercomputing, 75(2019), 5882–5897. WuShaofei LiuJun LiuLizhi Modeling method of internet public information data mining based on probabilistic topic model The Journal of Supercomputing 75 2019 5882 5897 Search in Google Scholar

[3] Besbes, O. & Zeevi, A. On the (surprising) sufficiency of linear models for dynamic pricing with demand learning. Management Science, 61(4) (2015), 723–739. BesbesO. ZeeviA. On the (surprising) sufficiency of linear models for dynamic pricing with demand learning Management Science 61 4 2015 723 739 Search in Google Scholar

[4] Ageeva, H., & Kharin, Y. Ml estimation of multiple regression parameters under classification of the dependent variable. Lithuanian Mathematical Journal, 55(1) (2015), 1–13. AgeevaH. KharinY. Ml estimation of multiple regression parameters under classification of the dependent variable Lithuanian Mathematical Journal 55 1 2015 1 13 Search in Google Scholar

[5] Liska, G. R. Silveira, E. C. D. Reis, P. R., M. Â. Cirillo, & Gonzalez, G. G. H. Selecting a binomial regression model on the predation rate of euseius concordis (chant, 1959). Coffee ence, 10(1) (2015), 113–121. LiskaG. R. SilveiraE. C. D. ReisP. R. CirilloM. Â. GonzalezG. G. H. Selecting a binomial regression model on the predation rate of euseius concordis (chant, 1959) Coffee ence 10 1 2015 113 121 Search in Google Scholar

[6] Shaofei Wu, Qian Zhang, Wenting Chen, Jun Liu, Lizhi Liiu, Research on trend prediction of internet user intention understanding and public intelligence mining based on fractional differential method, Chaos, Solitons and Fractals, 128(2019), 331–338. WuShaofei ZhangQian ChenWenting LiuJun LiiuLizhi Research on trend prediction of internet user intention understanding and public intelligence mining based on fractional differential method Chaos, Solitons and Fractals 128 2019 331 338 Search in Google Scholar

[7] Zhou, D. & Wu, J. On the stochastic restricted two-parameter ridge type estimator in a linear regression model. Far East Journal of Mathematical Sciences, 102(2) (2017), 421–424. ZhouD. WuJ. On the stochastic restricted two-parameter ridge type estimator in a linear regression model Far East Journal of Mathematical Sciences 102 2 2017 421 424 Search in Google Scholar

[8] Ramazan Sari, Some Properties Curvture of Lorentzian Kenmotsu Manifolds. Applied Mathematics and Nonlinear Sciences, 2020. 5(2):pp. 283–292. SariRamazan Some Properties Curvture of Lorentzian Kenmotsu Manifolds Applied Mathematics and Nonlinear Sciences 2020 5 2 283 292 Search in Google Scholar

[9] G. Gopi Krishna, S. Sreenadh, A. N. S. Srinivas, Entropy Generation in Couette Flow Through a Deformable Porous Channel, Applied Mathematics and Nonlinear Sciences. 2019. 4(2):pp. 575–590. Gopi KrishnaG. SreenadhS. SrinivasA. N. S. Entropy Generation in Couette Flow Through a Deformable Porous Channel Applied Mathematics and Nonlinear Sciences 2019 4 2 575 590 Search in Google Scholar