An Empirical Study on Factors Affecting Graduate Employment in College Talent Development Based on Dichotomy Regression Analysis

2021 ◽  
Author(s):  
Ji Ren ◽  
Yiming He
Keyword(s):  
Regression Analysis ◽  
Empirical Study ◽  
Talent Development ◽  
Factors Affecting ◽  
Graduate Employment

Empirical Study of Credit Rating’s Factors Based on the Buyer’s Perspective in the Netshop of Small and Micro Enterprises in TianJin

2014 ◽  
Vol 697 ◽  
pp. 499-503
Author(s):  
Chen Xing Bai
Keyword(s):  
Factor Analysis ◽  
Regression Analysis ◽  
Empirical Study ◽  
Credit Rating ◽  
Specific Structure ◽  
Factors Affecting ◽  
Main Factors ◽  
Micro Enterprises

Researching on the factors affecting the level of credit rating in the netshop of small and micro enterprises in TianJin, the seven main factors are extracted through factor analysis; And then the paper does the regression analysis between the seven main factors and the credit rating levels, so does between each of the main factors and their specific structure. Finally, it calculates the order of importance and the value of impacting. So it can provide a reference for the network shop of small and micro enterprises to enhance the credit rating level.

scholarly journals AN EMPIRICAL STUDY ON THE DETERMINANTS OF RESIDENT SAVINGS BALANCE IN CHINA

2021 ◽  
Author(s):  
JIA-HUAN ZHU
Keyword(s):  
Regression Analysis ◽  
Empirical Study ◽  
Regression Model ◽  
The Other ◽  
Dependency Ratio ◽  
Strongly Correlated ◽  
Extensive Reading ◽  
Savings Behavior ◽  
Factors Affecting ◽  
The Government

This is an empirical paper that explores the factors affecting the change in the savings balances in China. After extensive reading of existing studies, we will use the WLS regression model to conduct a regression analysis of several classical factors affecting the change in the savings balances and the new factors proposed in this paper, based on the reality of Eastern-Western differences in China. We provide evidence that six variables out of the eight factors we study are strongly correlated with the change in the savings balances. Further, we find that except for the Child dependency ratio, the other five variables are positively correlated with the change in savings balances. The purpose of this paper is to encourage the market to adjust development strategies, the government to adopt more targeted policies, and the society to give strong help to better guide residents' savings behavior by analyzing the factors that affect the change in savings balances at a macro level.

Studying the factors of regional insurance market development using the correlation and regression analysis

2020 ◽  
Vol 26 (7) ◽  
pp. 1610-1630
Author(s):  
E.L. Prokop'eva
Keyword(s):  
Regression Analysis ◽  
Federal District ◽  
Insurance Market ◽  
Market Development ◽  
Insurance Markets ◽  
Regression Equations ◽  
Factors Affecting ◽  
Correlation And Regression Analysis ◽  
Country Level ◽  
Inverse Effect

Subject. The article investigates and quantifies factors of insurance markets functioning in Russian regions, and reveals possibilities to manage them. Objectives. The purpose of the study is to substantiate regional factors that determine the specifics of regional insurance market development; to quantify them to increase the efficiency of regional insurance. Methods. The study draws on statistical methods, functional analysis, algorithm development, correlation and regression analysis. Results. I calculated coefficients of pair and multiple correlation with the indicators of insurance markets in the context of the subjects of the Russian Federation, and composed regression equations. Based on the analysis, I determined the algorithm for inverse effect of the insurance market on the economic, social, fiscal and environmental performance of the region, offered appropriate measures aimed at developing the economic potential of the region and its social sphere. Conclusions. The paper considers the case of the Republic of Khakassia, one of depressed subjects in the Siberian Federal District. The developed models can be used for other regions of Russia, given the geographical and economic features of development. The findings may help generate regional strategies for socio-economic development at the country level. The scientific contribution and the novelty of the work consist of systematizing and quantifying the factors affecting the insurance mechanisms of regional markets, and assessing the inverse effect of insurance mechanisms on integrated development of the region.

Regression analysis of indicators of a numerical experiment to determine the cooling time of oil

2020 ◽  
pp. 89-97
Author(s):  
A. U. Yakupov ◽  
D. A. Cherentsov ◽  
K. S. Voronin ◽  
Yu. D. Zemenkov
Keyword(s):  
Regression Analysis ◽  
Computer Experiment ◽  
Calculation Model ◽  
Cooling Time ◽  
Regression Coefficients ◽  
Fisher Criterion ◽  
Empirical Relationships ◽  
Factors Affecting ◽  
Oil Pipeline ◽  
Significant Regression

The article performed the processing of the results of a computer experiment to determine the cooling time of oil in a stopped oil pipeline. We proposed a calculation model in previous works that allows you to simulate the process of cooling oil.There was a need to verify the previously obtained results when conducting a laboratory experiment on a stand with soil. To conduct the experiment, it was necessary to conduct the planning of the experiment. The factors affecting the cooling time of oil in the oil pipeline, which will vary in the proposed experiment, are determined, empirical relationships are established. A regression analysis was carried out, and the dispersion homogeneity was checked using the Cochren criterion. The estimates of reproducibility variances are calculated. The adequacy hypothesis was tested using the Fisher criterion. Significant regression coefficients are established.

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