scholarly journals Short Communication: Correlation and regression among rice panicle branches traits

2019 ◽  
Vol 20 (4) ◽  
pp. 1140-1146 ◽  
Author(s):  
TRI HASTINI ◽  
WILLY BAYUARDI SUWARNO ◽  
MUNIF GHULAMAHDI ◽  
HAJRIAL ASWIDINNOOR
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Short Communication ◽  
Research Station ◽  
Correlation And Regression Analysis ◽  
Linear Relationships ◽  
Randomized Design ◽  
Panicle Branch ◽  
Completely Randomized Design ◽  
The Relationship

Abstract. Hastini T, Suwarno WB, Ghulamahdi M, Aswidinnoor H. 2019. Short Communication: Correlation and regression among rice panicle branches traits. Biodiversitas 20: 1140-1146. Panicle was a very important organ in rice since the grains are developed from the panicle branches. This study aimed to find out the information about the relationship among rice panicle branching traits using correlation and regression analysis. The trial was conducted at the IPB Research Station, Babakan, Bogor, Indonesia from December 2015 until April 2016. Twenty genotypes of lowland rice were used as treatments with three replications and arranged in a completely randomized design. The panicle branches traits were observed. The result showed that there was positively and a highly significant relationship among the panicle branches traits in general. Analysis using linear regression revealed that, in general, the total grains number per panicle showed the linear relationships with other traits, and only total grains number per panicle vs tertiary branches number, total grains number per panicle vs grains number of tertiary panicle branch, and total grains number per panicle vs the number of secondary branches per panicle branch showed the quadratic relationship. Among all rice panicle branching traits, the secondary panicle branches number had the highest contribution to the total grains number per panicle.

scholarly journals Corruption as a Factor Forming the Level of Domestic Trust: Topological Model and Regressional Analysis

2020 ◽  
pp. 49-61
Author(s):  
N.Y. Yegorova ◽  
E.A. Koroleva ◽  
A.V. Gorlov
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Research Methods ◽  
Topological Model ◽  
General View ◽  
Regression Equations ◽  
Correlation And Regression Analysis ◽  
Relationship Of ◽  
The Relationship ◽  
Scenario Approach

The article discusses the concepts of trust and corruption in society and explores the interdependence between them using the international Edelman Trust Barometer (ETB) Corruption Perceptions Index (CPI). Research methods are: 1) the topological model proposed by the authors, built on the averaged values of these indices; 2) correlation and regression analysis; 3) scenario approach based on the formation of «range corridors». The analysis of the topological model was carried out, on the basis of which the zones of low, medium and high levels of corruption were identified, with a characteristic specific type of relationship between the ETB and CPI indices; the general view of the dependence of the level of trust on corruption in the form of a horizontal S-shaped curve is approximately defined. Statistically significant linear regression equations were obtained, reflecting the relationship of the considered indices for three countries (Germany, Colombia, France).

The Influences of Palindromes in mRNA on Protein Folding Rates

2020 ◽  
Vol 27 (4) ◽  
pp. 303-312 ◽  
Author(s):  
Ruifang Li ◽  
Hong Li ◽  
Sarula Yang ◽  
Xue Feng
Keyword(s):  
Protein Folding ◽  
Regression Analysis ◽  
Linear Regression ◽  
Linear Regression Analysis ◽  
Folding Rate ◽  
Folding Rates ◽  
Negative Linear Correlation ◽  
Protein Folding Rate ◽  
The Relationship ◽  
Structure Environment

Background: It is currently believed that protein folding rates are influenced by protein structure, environment and temperature, amino acid sequence and so on. We have been working for long to determine whether and in what ways mRNA affects the protein folding rate. A large number of palindromes aroused our attention in our previous research. Whether these palindromes do have important influences on protein folding rates and what’s the mechanism? Very few related studies are focused on these problems. Objective: In this article, our motivation is to find out if palindromes have important influences on protein folding rates and what’s the mechanism. Method: In this article, the parameters of the palindromes were defined and calculated, the linear regression analysis between the values of each parameter and the experimental protein folding rates were done. Furthermore, to compare the results of different kinds of proteins, proteins were classified into the two-state proteins and the multi-state proteins. For the two kinds of proteins, the above linear regression analysis were performed respectively. Results : Protein folding rates were negatively correlated to the palindrome frequencies for all proteins. An extremely significant negative linear correlation appeared in the relationship between palindrome densities and protein folding rates. And the repeatedly used bases by different palindromes simultaneously have an important effect on the relationship between palindrome density and protein folding rate. Conclusion: The palindromes have important influences on protein folding rates, and the repeatedly used bases in different palindromes simultaneously play a key role in influencing the protein folding rates.

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 HUBUNGAN PERSEPSI TENTANG PROFESI FISIOTERAPI DENGAN MOTIVASI BELAJAR MAHASISWA AKADEMI FISIOTERAPI UKI

2018 ◽  
Vol 10 (3) ◽  
pp. 226
Author(s):  
Maksimus Bisa
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Correlation Analysis ◽  
Correlation Coefficient ◽  
Linear Regression Analysis ◽  
Motivation To Learn ◽  
Simple Linear Regression ◽  
Level 1 ◽  
Relationship Of ◽  
The Relationship

ABSTRACTThis study is descriptive analitik, aims to describe the relationship of perceptions about the physiotherapy profession with the motivation to learn students of the Academy of Physiotherapy UKI. Data collection through questionnaires to students of Physiotherapy Academy UKI level 1, 2, and 3 with a sample of 53 students, then give a score of each statement of questionnaire.The result of correlation analysis shows that p = 0,584> α (0,05) ho is accepted, so there is no significant relationship between the two variables. To measure the closeness and intensity of the relationship between the two variables, test of correlation coefficient and simple linear regression. The result of correlation coefficient test (r) obtained by -0,077, lies below the value of -0.30 (very weak) thus can be said there is no relation between perception about physiotherapy profession with motivation learn student Akfis UKI. Result of linear regression analysis obtained equation: Y = 73,52 + (-0,088) X. This means that every 1 point decrease of perception value will influence motivation value equal to 0,088 times.Keywords: Perception, motivation, physiotherapy profession, and learning achievement. ABSTRAKPenelitian ini bersifat deskriptif analitik, bertujuan untuk mendeskripsikan hubungan persepsi tentang profesi fisioterapi dengan motivasi belajar siswa Akademi Fisioterapi UKI. Pengumpulan data melalui kuesioner kepada siswa Fisioterapi Academy UKI tingkat 1, 2, dan 3 dengan sampel sebanyak 53 siswa, kemudian memberikan skor masing-masing kuesioner pernyataan. Hasil analisis korelasi menunjukkan bahwa p = 0,584> α (0,05) ho diterima, sehingga tidak ada hubungan yang signifikan antara kedua variabel tersebut. Untuk mengukur kedekatan dan intensitas hubungan antara kedua variabel tersebut, uji koefisien korelasi dan regresi linier sederhana. Hasil uji koefisien korelasi (r) diperoleh sebesar -0,077, berada di bawah nilai -0,30 (sangat lemah) sehingga dapat dikatakan tidak ada hubungan antara persepsi tentang profesi fisioterapi dengan motivasi belajar siswa Akfis UKI. Hasil analisis regresi linier diperoleh persamaan: Y = 73,52 + (-0,088) X. Artinya setiap 1 titik penurunan nilai persepsi akan mempengaruhi nilai motivasi sebesar 0,088 kali.Kata kunci: Persepsi, motivasi, profesi fisioterapi, dan prestasi belajar.

scholarly journals Hubungan Kecepatan Pendinginan Air dengan Kecepatan Tiupan Udara

2017 ◽  
Vol 2 ◽  
pp. 241
Author(s):  
Taat Guswantoro ◽  
Manogari Sianturi ◽  
Nurafni Prapitasari ◽  
Areli Elona
Keyword(s):  
Regression Analysis ◽  
Wind Speed ◽  
Linear Regression ◽  
Water Temperature ◽  
Rate Of Change ◽  
Hot Water ◽  
Water Cooling ◽  
Exponential Regression ◽  
The Relationship

<p class="AbstractEnglish"><strong>Abstract</strong>: In this study hot water was placed in two erlenmeyer scale 100 ml clogged and without plug, each filled with 150 ml hot water and allowed to cool in air. Measurement of water temperature using sensor connected to the interface and recorded using the pasco capstone 14.1. The wind is raised with the fan, to adjust the wind speed by adjusting the fan distance, the speed is measured using an anemometer. The water cooling constant is obtained by a decay exponential regression analysis of temperature vs time. The relationship between water colling coefficient with wind speed is used linear regression. From the research, the water cooling coefficient naturally for clogging erlenmeyer is 3,1 x 10<sup>-4</sup> s<sup>-1</sup> and for erlenmeyer without plug 3.8 x 10<sup>-4</sup> s<sup>-1</sup>, the rate of change of water cooling constant to wind speed is 1 , 4 x 10<sup>-4</sup> m<sup>-1</sup>.</p><p class="KeywordsEngish"> </p><p class="AbstrakIndonesia"><strong>Abstrak: </strong>Pada penelitian ini air panas ditempatkan dalam dua buah erlenmeyer berskala 100 ml bersumbat dan tanpa sumbat, masing-masing diisi air panas dengan volume 150 ml dan dibiarkan mendingin di udara. Pengukuran suhu air dengan menggunakan sensor panas yang dihubungkan ke interface dan dicatat menggunakan program pasco capstone 14.1. Angin dibangkitkan dengan kipas, untuk mengatur kecepatan angin dengan cara mengatur jarak kipas, kecepatan angin diukur menggunakan anemometer. Konstanta pendinginan air diperoleh dengan analisis regresi eksponensial meluruh dari data suhu dan waktu. Hubungan antara koefisien pendinginan air dengan kecepatan angin digunakan regresi linier. Dari penelitian diperoleh koefisien pendinginan air secara alami untuk erlenmeyer tersumbat sebesar 3,1 x 10<sup>-4</sup> s<sup>-1</sup> dan untuk erlenmeyer tanpa sumbat sebesar  3,8 x 10<sup>-4</sup> s<sup>-1</sup>, laju perubahan konstanta pendinginan air terhadap kecepatan angin adalah sebesar 1,4 x 10<sup>-4</sup> m<sup>-1</sup><sub>.</sub></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

The effects of glyphosate and triclopyr on common bryophytes and lichens in northwestern Ontario

1999 ◽  
Vol 29 (7) ◽  
pp. 1101-1111 ◽  
Author(s):  
Steven G Newmaster ◽  
F Wayne Bell ◽  
Dale H Vitt
Keyword(s):  
Species Richness ◽  
Community Dynamics ◽  
Herbicide Application ◽  
Northwestern Ontario ◽  
Application Rates ◽  
Open Forest ◽  
Randomized Design ◽  
Completely Randomized Design ◽  
The Relationship

The effects of two silvicultural herbicides (Vision®, Release®) on bryophytes and lichens were studied in a harvested boreal mixedwood ecosystem. A completely randomized design with 115 plots of 1 m2 allowed direct comparison between herbicides and their effects on community dynamics. Regression models were used to analyze the relationship between herbicide application rates (0.71-6.72 kg active ingredient/ha) and changes in bryophyte and lichen abundance and species richness for 2 years following herbicide application. Results showed that bryophyte and lichen abundance and species richness decreased after herbicide treatments. In general, herbicide applications reduced the diversity of forest mesophytes and weedy colonizers to an ecosystem with only a few species of colonizers. A combination of clustering techniques and ANOVA were used to divide bryophytes and lichens into three ecologically defined response groups: herbicide-tolerant colonizers, semi tolerant long-term stayers from dry open forest, and sensitive forest mesophytes.

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.

Pengaruh Promosi terhadap Penjualan Polis Asuransi Syariah

2020 ◽  
Vol 3 (2) ◽  
pp. 144-152
Author(s):  
Ermayanis Ermayanis ◽  
Nurse Fatimah MZ
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Quantitative Methods ◽  
Linear Regression Analysis ◽  
Insurance Companies ◽  
Simple Linear Regression ◽  
Insurance Policy ◽  
Insurance Policies ◽  
Islamic Insurance ◽  
The Relationship

This study aimed to determine the effect of promotion on the sales of Islamic insurance policies at PT. Asuransi Takaful Keluarga RO Riau Agency Pekanbaru. This research was motivated by the development of Islamic insurance companies both in terms of assets and in terms of company contributions that have an impact on insurance policy sales. The formulation of the problem in this study was to determine the effect of the relationship promotion on insurance policy sales. This research used quantitative methods with simple linear regression analysis. The sample in this study was 49 respondents. Based on the results of the partial test (t-test), the tcount was 1.391 <t-table 2.016, so the promotion had no significant effect on the variable sales of the insurance policy of PT. Asuransi Takaful Keluarga RO Riau Pekanbaru. The regression results showed that the promotion variable does not affect sales.

The relationship between transformational leadership and job satisfaction in selected colleges at King Khalid University, Abha, Saudi Arabia

2019 ◽  
Author(s):  
Esther Iriagbonse Eroje ◽  
Erasmus Kofi Appiah ◽  
Alezi Braimoh Ifindon Eroje ◽  
MEER ZAKIRULLA ◽  
Jimly James Kunjappu ◽  
...  
Keyword(s):  
Job Satisfaction ◽  
Transformational Leadership ◽  
Saudi Arabia ◽  
Regression Analysis ◽  
Linear Regression ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Leadership Behaviour ◽  
R Value ◽  
The Relationship

Abstract Background Leadership has become the key issues in managing the organization, the emerging business and economic environments have forced organizations to be flexible, adaptive, entrepreneurial and innovative to meet changing demand of the present-day business environment. The purpose of the present study is to examine the relationship between the various dimensions of transformational leadership (predictor variable) and their effects on employees’ job satisfaction (criterion variable) in three selected Colleges (Medicine, Dentistry and Science) in King Khalid University. Methods The methodology employed in this study was a quantitative and cross-sectional correlational survey type of design Data collection was done using a questionnaire design that was directly administered to the participants. 250 questionnaires were sent to the participating three colleges (Medicine, Dentistry and Sciences). Results The findings of the multiple linear regression analysis indicated a weak positive association between transformational leadership behaviour and employees’ job satisfaction (R-value 0.386). The multiple linear regression analysis signifies a weak positive correlation between transformational leadership behaviour and job satisfaction (R-value 0.386). A p-value in Spearman’s rho that is less than the 0.05 level of significance indicated that there is a significant level of relationship which exists between transformational leadership behaviour and job satisfaction. Conclusions This study concluded that transformational leadership behaviour and its four dimensions showed a weak positive correlation with a statistically significant level of relationship between transformational leadership behaviour and employees’ job satisfaction among three selected colleges (Medicine, Dentistry and Sciences) in King Khalid University, Abha, Saudi Arabia.

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