Forecasting the Tyva Republic population based on correlation and regression analysis

2021 ◽  
Vol 20 (7) ◽  
pp. 1278-1295
Author(s):  
Shonchalai Ch. SOYAN ◽  
Orgaadai E. TUTATCHIKOVA
Keyword(s):  
Regression Analysis ◽  
Population Based ◽  
Multivariate Statistical ◽  
Correlation And Regression Analysis ◽  
Study Results ◽  
Mathematical Equations ◽  
Tyva Republic ◽  
The Relationship ◽  
Image Format ◽  
Significant Factors

Subject. The article deals with the forecast of the population of the Tyva Republic in the short term, based on correlation and regression analysis. Objectives. The aim is to forecast the population of the Tyva Republic, using the correlation and regression analysis. Methods. The study draws on the correlation and regression analysis, as one of the methods of multivariate statistical analysis, in which the form and intensity of relationship are presented in the form of mathematical equations and formulas. We also apply methods of comparison, dynamics, table and image format of visualization of the study results. Results. The correlation and regression analysis provides forecast data relating to the population of the Tyva Republic for 2020, which is very close to the actual population for this year. The analysis of indicators for development of the population revealed an annual increase, despite the declining fertility rates and unstable trend in mortality. The paper estimates the parameters of the regression equation, which describes the relationship between fertility, mortality, migration and population size. The findings may help create programs for demographic policy, socio-economic development of the territory, improvement of living standards in the region. Conclusions. The use of correlation and regression analysis will serve as a fairly reliable method to solve the problem. The study unveils significant factors that affect the growth or decline of population in the region.

scholarly journals Surface Sediment Diatom Assemblages Response to Water Environment in Dongping Lake, North China

Water ◽  
2021 ◽  
Vol 13 (3) ◽  
pp. 339
Author(s):  
Shuangshuang Liu ◽  
Min Yao ◽  
Shiyue Chen ◽  
Xingzhong Yuan
Keyword(s):  
Environmental Factors ◽  
Water Environment ◽  
Oxygen Demand ◽  
Diatom Assemblages ◽  
Multivariate Statistical ◽  
Dongping Lake ◽  
Autumn And Winter ◽  
Response To Water ◽  
The Relationship ◽  
Significant Factors

The relationship between the diatom taxa preserved in surface lake sediments and environmental variables in Dongping Lake was explored using multivariate statistical methods. The statistical analysis showed that the lake was eutrophicated in all seasons. Transparency, chlorophyll a (Chla) and total phosphorus (TP) were the dominant environmental factors in spring and summer, and NH4+-N and chemical oxygen demand (COD) were the dominant environmental factors in autumn and winter. Sixteen genera and 43 species of diatom were found in the surface sediments, and the dominant diatom genera were Aulacoseira, Ulnaria, Cyclotella, Navicula and Fragilaria. A redundancy analysis (RDA) and Monte Carlo permutation 20 test revealed that COD, pH, TP, conductivity and transparency were significant factors influencing diatom assemblage change, meaning that the distribution of the diatom assemblages were mostly influenced by nutrient composition, light intensity and ion concentrations.

A Study about Factors Influencing the University Performance

2013 ◽  
Vol 64 (2) ◽  
Author(s):  
Rosman Md. Yusoff ◽  
Faisal Khan ◽  
Asad Mubeen ◽  
Kamran Azam
Keyword(s):  
Regression Analysis ◽  
Empirical Relationship ◽  
Decision Makers ◽  
High Tech ◽  
Data Correlation ◽  
Correlation And Regression Analysis ◽  
Factors Influencing ◽  
University Performance ◽  
The University ◽  
The Relationship

The purpose of this study is to find out the empirical relationship and influence of Research Environment, Integration of the university with Industry, High-tech Employment and Professional & Managerial Development on the University Performance.A Questionnaire has been used to collect the data. Correlation and Regression analysis were used to determine the relationship and influence of identified dimensions over the University Performance.The findings of the study show that the identified dimensions significantly relate and influence the University Performance. This study would be helpful for the university administration while making policies to upgrade its performance. Less work has been done in Pakistan for the development of universities. This study distinctively identifies and represents the variables and their influence over the university performance. The findings increase the value of the study as it would help the decision makers at the universities to think ‘out of the box’.

scholarly journals The Effect of Nepotism on Organizational Silence, Alienation and Commitment: A Study on Hotel Employees in Turkey

2015 ◽  
Vol 7 (4) ◽  
pp. 82 ◽  
Author(s):  
Elbeyi Pelit ◽  
Füsun İstanbullu Dinçer ◽  
İbrahim Kılıç
Keyword(s):  
Factor Analysis ◽  
Regression Analysis ◽  
Standard Deviation ◽  
Positive Relationship ◽  
Negative Relationship ◽  
Group Factor ◽  
Correlation And Regression Analysis ◽  
Hotel Employees ◽  
Organizational Silence ◽  
Study Results

<p>The aim of this study is to determine the effect of nepotism on organizational silence, alienation and commitment. As a data collecting method a questionnaire which contains nepotism, organizational silence, alienation and commitment scales was used. It was applied on 662 employees working in 30 five star hotels in Turkey. Since nepotism covers the practices in establishments in which family-relative relations are concentrated, the hotels included in the sampling group have been selected from establishments whose proprietors are a part of a family/family group. Factor analysis, Cronbach’s Alpha, mean, standard deviation, correlation and regression analysis were used to analyze the acquired data. The study results revealed that nepotism has a positive relationship with organizational silence and alienation and a negative relationship with organizational commitment. </p>

scholarly journals Policy Assessment Investment Appeal of Innovation Projects Enterprises

2019 ◽  
Vol 9 (2) ◽  
pp. 5111-5122
Keyword(s):  
Regression Analysis ◽  
Practical Experience ◽  
Cash Flows ◽  
Financial Indicators ◽  
Correlation And Regression Analysis ◽  
Proposed Model ◽  
Modern Economic ◽  
The Subject ◽  
The Relationship ◽  
Future Cash Flows

The aim of the article is to summarize theoretical principles and practical experience regarding the relationship between the investment attractiveness of innovative projects and economic growth. The methods of correlation and regression analysis, extrapolation and modeling are used. The subject of the study was the features and patterns of the formation, use and regulation of the policy for assessing the investment attractiveness of company’s innovative projects in modern economic conditions. In the course of the study, an algorithm was developed to assess the size and level of investment attractiveness of the algorithm is based on the allocation of components of the enterprise’s potential. It is indicated that models for evaluating efficiency and cost should take into account not only future cash flows, but also non-financial indicators. Are proposed the construction of a multivariate model based on regression analysis. The essence of this model is to combine the traditional method of correlation analysis with least squares. This approach has the main advantage - relatively high accuracy and low costs in the construction and forecasting. The proposed model of a system for ensuring the investment attractiveness of innovative projects of companies consists of two main subsystems - information-analytical and implementation-control. These blocks provide results that allow you to increase investment attractiveness, as well as timely determine the external and internal risks of the enterpriseThe aim of the article is to summarize theoretical principles and practical experience regarding the relationship between the investment attractiveness of innovative projects and economic growth. The methods of correlation and regression analysis, extrapolation and modeling are used. The subject of the study was the features and patterns of the formation, use and regulation of the policy for assessing the investment attractiveness of company’s innovative projects in modern economic conditions. In the course of the study, an algorithm was developed to assess the size and level of investment attractiveness of the algorithm is based on the allocation of components of the enterprise’s potential. It is indicated that models for evaluating efficiency and cost should take into account not only future cash flows, but also non-financial indicators. Are proposed the construction of a multivariate model based on regression analysis. The essence of this model is to combine the traditional method of correlation analysis with least squares. This approach has the main advantage - relatively high accuracy and low costs in the construction and forecasting. The proposed model of a system for ensuring the investment attractiveness of innovative projects of companies consists of two main subsystems - information-analytical and implementation-control. These blocks provide results that allow you to increase investment attractiveness, as well as timely determine the external and internal risks of the enterprise

scholarly journals The Relationship between Thyroid Function and Depressive Symptoms—the FIN-D2D Population-Based Study

2015 ◽  
Vol 8 ◽  
pp. CMED.S24111 ◽  
Author(s):  
Juha Saltevo ◽  
Hannu Kautiainen ◽  
Pekka Mäntyselkä ◽  
Antti Jula ◽  
Sirkka Keinänen-Kiukaanniemi ◽  
...  
Keyword(s):  
Regression Analysis ◽  
Depressive Symptoms ◽  
Thyroid Function ◽  
Participation Rate ◽  
Population Based ◽  
Thyroid Stimulating Hormone ◽  
Free Triiodothyronine ◽  
Population Based Study ◽  
The Mean ◽  
The Relationship

The association between thyroid function and depression is controversial. Both conditions express many similar symptoms, but the studies done give conflicting results. This study draws on a random, population-based sample of 4500 subjects aged 45–75 years old from Finland. The basic clinical study was done in 2007 for 1396 men and 1500 women (64% participation rate). Thyroid stimulating hormone (TSH), free thyroxine (F-T4), and free triiodothyronine (F-T3) were measured in 2013 from frozen samples. The 21-item Beck Depression Inventory (BDI-21) was applied to assess depressive symptoms (score ≥10 points). The prevalence of depressive symptoms was 17.5% in women and 12.5% in men. In women, the mean levels of TSH, F-T4, and F-T3 without depressive symptoms vs. with the presence of depressive symptoms were 1.92/1.97 mU/L, 13.1/13.1 pmol/L, and 3.91/3.87 pmol/L (NS), respectively. In men, the levels were 1.87/1.94 mU/L, 13.5/13.7 pmol/L, and 4.18/4.12 pmol/L (NS), respectively. In multiple regression analysis, TSH had no relationship to BDI-21 total score. We found no association between depressive symptoms and thyroid values.

CLUSTER REGRESSION ANALYSIS TO DETERMINE THE IMPACT OF GDP ON VOLUNTARY HEALTH INSURRANCE PREMIUS

2021 ◽  
Vol 1 (7) ◽  
pp. 16-22
Author(s):  
N.L. Bushueva ◽  
Keyword(s):  
Regression Analysis ◽  
Health Insurance ◽  
Financial Stability ◽  
Socioeconomic Development ◽  
Medical Insurance ◽  
Voluntary Health Insurance ◽  
Correlation And Regression Analysis ◽  
Key Indicators ◽  
The Impact ◽  
The Relationship

Increasingly, the policy of the Russian Federation is aimed at the development of healthcare, and spending on the healthcare industry is becoming a serious problem for the financial stability of national health systems, even in highincome countries. Voluntary medical insurance, as one of the forms of medical insurance, contributes to the formation of all insurance premiums, thereby this form can be one of the indirect factors of socioeconomic development of Russia. The paper hypothesizes the existence of a relationship between the level of development of the welfare of the country and the volume of the premium fund of voluntary health insurance. A study was conducted on the relationship between voluntary health insurance and GDP, as one of the key indicators of the country's development, through correlation and regression analysis.

scholarly journals Determinants of Capital Structure in Bahrain Stock Market

2016 ◽  
Vol 3 (2) ◽  
pp. 177
Author(s):  
Abdelrhman Ahmad Meero
Keyword(s):  
Regression Analysis ◽  
Correlation Analysis ◽  
Stock Market ◽  
Capital Structure ◽  
Linear Model ◽  
Significant Relationship ◽  
Correlation And Regression Analysis ◽  
Dependent Variables ◽  
The Relationship ◽  
Industrial Investment

The aim of this paper is to examine the determinants of capital structure (profitability, size, risk and growth). The sample is composed of 39 Bahraini firms listed in Bahrain Stock Market. The study covered the period 2011-2015. Correlation and regression analysis have been used to identify the relationship between the capital structure determinants and debt leverages (book leverage and market leverage). Correlation analysis aims to identify this relationship at market level and at sectorial level. Regression analysis objective is to anticipate the models characterizing the relationships between determinants and capital leverages. Results of the analysis shows negative significant relationship between profitability and dependent variables, with more significance relationship with market leverage. This relationship is demonstrated in market level and in insurance and services sectors between profitability and book leverage. When the market leverage is the dependent variable this relationship is valid in market level and in banking, hotels, insurance and services sectors. Positive significant relationship has been found between size and both leverages in market level. Similar result is detected on sectorial level in banking, industrial, investment and services when the dependent variable is book leverage. Size-market leverage relationship is positive and significant also in insurance, investment and services sectors. The relationship risk—book leverage is significant only on sectorial level in Industrial, insurance and investment sectors. In term of market leverage—risk relationship, significant relationship is detected in market level and in investment and services sectors. Regression analysis results present a significant linear model reflecting the relationship between determinants of capital structure and leverages.

scholarly journals Hubungan Struktur Modal Dan Profitabilitas: Analisis Perusahaan Infrastruktur pada Indonesian Stock Exchange Tahun 2012-2016

2019 ◽  
Vol 7 (2) ◽  
Author(s):  
Eddy Winarso, Francis M. Hutabarat
Keyword(s):  
Regression Analysis ◽  
Capital Structure ◽  
Significant Relationship ◽  
Stock Exchange ◽  
Statistical Software ◽  
Return On Equity ◽  
Correlation And Regression Analysis ◽  
Auto Correlation ◽  
The Relationship ◽  
The Capital Structure

The purpose of this research is to analyze the relationship between capital structure and profitability of infrastructure companies listed in SMINFRA18 on the Indonesia Stock Exchange from 2012-2016. The advantage of an appropriate capital structure can help companies to grow primarily in the profits of their companies. This research is descriptive-correlation and quantitative approach. The data used in this study is the Capital Structure and Profitability Data of Infrastructure Companies in the Indonesia Stock Exchange which are members of the SMINFRA Index. There are 18 companies listed in the index which are the best companies in the infrastructure industry. The ratio used to describe the capital structure is Debt to Equity and the profitability ratio used is Return on Equity. This study uses statistical software to analyze: Auto-correlation, Multicollinearity, Normality, Heterocedascity, Correlation, and Regression analysis. Thus, the results of the study show that there is a significant relationship between capital structure and profitability in the SMINFRA18 Infrastructure Company listed on the Indonesia Stock Exchange.Keywords: Capital Structure, Profitability, Infrastructure, return on equity

scholarly journals THE SAFETY AND SECURITY OF THE TOURISM ENTREPRENEURSHIP POTENTIAL REALIZATION IN MODERN CONDITIONS

2020 ◽  
Vol 6 (5) ◽  
pp. 203-208
Author(s):  
Iryna Mazur ◽  
Ramil Aliyev ◽  
Yuliia Zhelizko
Keyword(s):  
Regression Analysis ◽  
Safety Information ◽  
Security Threats ◽  
Test Results ◽  
Correlation And Regression Analysis ◽  
Tourist Flows ◽  
Political Security ◽  
High Level ◽  
The Impact ◽  
The Relationship

The purpose of the paper is to determine the relationship between different types of tourism safety and security, and components of the tourism entrepreneurship potential, to conduct a quantitative analysis of these indicators in the regions of Ukraine and to identify areas for ensuring the safety and security of the tourism entrepreneurship potential realization. Methodology. Analysis of tourism safety and security in Ukraine is based on the assessment of security potential indicator and the security threats indicator for 25 regions. These indicators take into account the following types of safety and security: security of tourist services, safety of tourist facilities and equipment, social security, political security, financial security, medical safety, information security, and ecological security. The impact of tourism safety and security on the tourism entrepreneurship potential realization is determined on the basis of correlation and regression analysis, where the indicator of the tourism entrepreneurship potential realization is the volume of domestic and inbound tourist flows in the region. The empirical basis of the study is the data of the State Statistics Service of Ukraine for 2019. The reliability of the regression model was tested on the basis of the approximation coefficient and Fisher's F-test. Results of the correlation analysis indicate a significant relationship between ensuring the safety and security of tourism in the region and the volume of domestic and inbound tourist flows. As a result of regression analysis, a model of a high level of reliability was obtained, which indicates how the volume of domestic and inbound tourist flows to the region increases with increasing the level of tourist safety and security by unit. Practical implications. Since the process of safety and security ensuring for the tourism entrepreneurship potential realization cannot be implemented exclusively at the regional level, it is justified the feasibility of a targeted public policy in eight areas. Value/originality. The identified relationship between the types of safety and security of tourism and components of the tourism entrepreneurship potential, as well as establishing the level of impact of safety and security of tourism on the tourism entrepreneurship potential realization in the region provide for a better understanding of ways for efficient governance in this area.

scholarly journals Evaluating the Relationship between Investment in Innovation and the Volume of Sold Innovative Products in the Industry of Ukraine

2020 ◽  
Vol 3 (3) ◽  
pp. 67-79
Author(s):  
Larysa Kovchuha
Keyword(s):  
Regression Analysis ◽  
New Products ◽  
Time Lag ◽  
Scientific Research ◽  
Correlation And Regression Analysis ◽  
Different Types ◽  
Innovative Products ◽  
The Relationship ◽  
A Company

Applying the correlation and regression analysis, the study of the relationship between the volume and structure of innovation costs and the volume of sold innovative products (SIP) in industry was carried out on the example of Ukraine. The time lag of the costs-of-sales impact was also considered. It was hypothesized that the total volume of sold innovative products and their structure (the share of new products for the market, the share of products sold abroad) depend on different types of investment in innovation. The correlation and regression analysis showed that the components of investment in innovation influenced differently the volume and structure of SIP, which confirmed the hypothesis. The total amount of SIP largely depends on the level of costs to purchase machinery, equipment and software, as well as costs related to the component "Other". Positive dynamics of sold innovative products that are new to the market, as well as the products sold abroad, is largely determined by the volume of expenditures on external scientific research. Thus, by influencing the structure of investment in innovation, a company can significantly increase the level of its competitiveness.   

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