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

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Xin Liu ◽  
Alaa Omar Khadidos ◽  
Mohammed Yousuf Abo Keir
Keyword(s):  
Regression Analysis ◽  
Predictive Control ◽  
Prediction Accuracy ◽  
College Sports ◽  
Sports Performance ◽  
Linear Regression Equation ◽  
Analysis Model ◽  
Student’S Performance ◽  
High Prediction ◽  
The Mathematical Model

Abstract Aiming to solve the problems in the traditional multiple regression analysis model for predicting college sports performance based on the principles of econometrics, a predictive model that combines genetic algorithm (GA), college sports performance evaluation and regression analysis is proposed. GA is used to conduct dynamic and supervised optimisation evaluation of college sports performance; on this basis, combined with regression analysis and GA's global optimisation capabilities, a complex nonlinear relationship between student sports performance and influencing factors is established; the student's performance is calculated based on the college sports performance. The results show that the method has high prediction accuracy and good stability.

Application Analysis of the Recovery Fresh Air Heat Pump Units in Energy Saving Reform of Air Conditioning in the Severe Cold Regions

2015 ◽  
Vol 1092-1093 ◽  
pp. 12-16
Author(s):  
Ao Xue Chen ◽  
Zhao Chen ◽  
Chun Yu Ran ◽  
Chun Qing Wang
Keyword(s):  
Regression Analysis ◽  
Heat Pump ◽  
Air Conditioning ◽  
Prediction Accuracy ◽  
Heat Recovery ◽  
Measured Data ◽  
Regression Equation ◽  
Application Analysis ◽  
High Prediction ◽  
Working Principle

This article introduces the working principle of the recovery fresh air heat pump units,and analyzes the applications system which units apply in air-conditioning heat recovery system.By using the principle of regression analysis of mathematical statistics,the article measured data for statistical analysis.The regression equation is established, the established regression equation has a high prediction accuracy.

scholarly journals Research on Sports Performance Prediction Based on BP Neural Network

2021 ◽  
Vol 2021 ◽  
pp. 1-8
Author(s):  
Sitong Yang ◽  
Lina Luo ◽  
Baohua Tan
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Performance Prediction ◽  
Bp Neural Network ◽  
Prediction Accuracy ◽  
Sports Performance ◽  
High Prediction Accuracy ◽  
Network Algorithm ◽  
Neural Network Algorithm ◽  
High Prediction

Artificial neural network has the advantages of self-training and fault tolerance, while BP neural network has simple learning algorithms and powerful learning capabilities. The BP neural network algorithm has been widely used in practice. This paper conducts research on sports performance prediction based on 5G and artificial neural network algorithms. This paper uses the BP neural network algorithm as a pretest modelling method to predict the results of the 30th Olympic Men’s 100m Track and Field Championships and is supported by the MATLAB neural network toolbox. According to the experimental results, the scheme proposed in this paper has better performance than the other prediction strategies. In order to explore the feasibility and application of the BP neural network in this kind of prediction, there is a lot of work to be done. The model has a high prediction accuracy and provides a new method for the prediction of sports performance. The results show that the BP neural network algorithm can be used to predict sports performance, with high prediction accuracy and strong generalization ability.

A Regression Analysis Model of Ordinal Variable to Psychological Data

2015 ◽  
Vol 47 (12) ◽  
pp. 1520
Author(s):  
Peng XU ◽  
Lu QI ◽  
Jian XIONG ◽  
Haosheng YE
Keyword(s):  
Regression Analysis ◽  
Analysis Model ◽  
Ordinal Variable ◽  
Psychological Data

Study on the Height of Transmissive Fractured Zone Based on the ANFIS

2012 ◽  
Vol 256-259 ◽  
pp. 2760-2765
Author(s):  
Yun Gang Wang ◽  
Li Zhang
Keyword(s):  
Prediction Accuracy ◽  
Fuzzy Inference ◽  
Surface Displacement ◽  
Inverse Design ◽  
Coal Extraction ◽  
Generalization Capability ◽  
Inference System ◽  
Ore Body ◽  
Neuro Fuzzy ◽  
High Prediction

Adaptive Neuro-Fuzzy Inference System has the merits of high convergence speed, potentially better generalization capability, high prediction accuracy and definiteness of the training results, and it has been applied to inverse design of slopes and surface displacement due to coal extraction. By training and checkout the collected 19 examples of mining under water body, the optimum ANFIS modeling was established. ANFIS-based approach for the forecast of the height of transmissive fractured belt are applied to the extraction the No.Ⅲ ore body at Kangjiawan Zinc-Lead Mine successfully, some important conclusions are of great significance to the factual issues. All the experiences may be of greatly beneficial reference for the similar projects since then.

Pengaruh Kualitas Pelayanan, Harga, dan Promosi Terhadap Kepuasan Pelanggan pada PT. Benua Trans Maju Bersama Cabang Medan

2021 ◽  
pp. 88-93
Author(s):  
Nurmaidah Ginting ◽  
Mila sari Br Ginting ◽  
, Ine Selvia Br Tarigan
Keyword(s):  
Regression Analysis ◽  
Data Analysis ◽  
Customer Satisfaction ◽  
Service Quality ◽  
Significant Influence ◽  
Quantitative Research ◽  
Analysis Model ◽  
Validity And Reliability ◽  
Normality Test ◽  
Sample Test

in this study is to find out how the influence of service quality, price and promotion on customer satisfaction with the aim of testing and analyzing the effect of service quality, price and promotion on customer satisfaction at PT. Benua Trans Maju Bersama Cabang Medan. The research was started in October 2020 – May 2021. In this study, the researcher used quantitative research techniques with the type of research being descriptive quantitative and the nature of the research was descriptive explanatory research. The population in this study were all customers has 223 customers. where validity and reliability were first tested in order to determine whether a questionnaire was valid or not, and researchers did it to 30 customers and the rest were 143 customers as a sample test. Then it is processed using the classical assumption test which includes: normality test, multicollinearity test, and heteroscedasticity test. The data analysis model in this study uses multiple regression analysis. The conclusion from the results of this study is that there is a service quality partially positive and significant effect on customer satisfaction. The price partially positive and significant effect on customer satisfaction. Promotion positive and significant effect on customer satisfaction Simultaneously the variables of service quality (X1), price (X2) and promotion (X3), there is a positive and significant influence on customer satisfaction (Y).

Regression Analysis on Influences of Hem Parameters on Flare Sagging of Semi-Circular Skirt

2011 ◽  
Vol 331 ◽  
pp. 594-598
Author(s):  
Hong Ni
Keyword(s):  
Regression Analysis ◽  
Statistical Analysis ◽  
Measured Data ◽  
Silk Fabric ◽  
Linear Regression Equation ◽  
Analysis Software ◽  
Wool Fabrics ◽  
Object Of Study ◽  
The Relationship ◽  
Statistical Analysis Software

Select 45 pieces of silk, cotton and wool fabrics in total, with semi-circular skirt modeling as object of study, investigate the relationship between flare sagging in straight & inclined grains of skirt pieces and fabric types, analyze the influence of hem parameters on flare sagging of semi-circular skirt and obtain multiple linear regression equation by disposing the measured data with SPSS statistical analysis software. The study result shows that the skirt hem of silk fabric is sagging more significantly than that of cotton and wool fabrics and there is a multi-linear relationship between semi-circular flare sagging and parameters.The research of this subject has both theoretical value and practical value.

scholarly journals Evaluation of Decayed, Missing and Filled Teeth (DMFT) index in the 12 Years Old Students of Tehran City, Iran

2018 ◽  
Vol 17 ◽  
pp. e18888
Author(s):  
Azam Goodarzi ◽  
Alireza Heidarnia ◽  
Sedigheh Sadat Tavafian ◽  
Mohammad Eslami
Keyword(s):  
Regression Analysis ◽  
Dental Caries ◽  
Multivariate Regression ◽  
Family Income ◽  
Multivariate Regression Analysis ◽  
Analysis Model ◽  
Cross Sectional Survey ◽  
Related Factors ◽  
Dmft Index ◽  
The Mean

Aim: The main aim of this study was to Evaluate of Decayed, Missing and Filled Teeth (DMFT) Index in 12 Year Old Students of Tehran City, and to identify related factors that affect dental caries within this group. Methods: A cross-sectional survey was conducted among students of 12 years old in Tehran, Iran. Dental caries status was assessed in terms of decayed teeth (DT), filled teeth (FT) and decayed, missing and filled teeth (DMFT). “Data were analysed using SPSS version 22; a multivariate regression analysis was used to determine statistically significant associations between DMFT and other variables (p < 0.05). Results: A total of 416 respondents participated in the study. The mean age of the students was10.94 (SD=0.628) years, and the mean DMFT was 1.03 (SD=1.41). So that, in this study DT (0.53 ± 0.95) had the highest and MT (0.14 ± 0.47) had the lowest mean. A multivariate regression analysis model results showed a significant relation between high DMFT scores and such variables as increasing age, lower levels of mother's education, higher family income, lower frequency of tooth brushing and dental flossing, having a history of no visits to the dentist (P<0.05). Conclusion: The current study shows that Iranian female students have a poor oral health behavior, as very few subjects use dental floss on a regular basis. Although there appeared to be a significant relationship between caries scores and demographic factors such as age and socio-behavioral variables include  family income, the level of mothers' education, the frequency of dental brushing and flossing, and both the frequency and type of visit to a dentist.

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