scholarly journals Statistical Relationship between the Parameters of Some Indexed Journals by Fuzzy Linear Regression

2019 ◽  
Vol 8 (3) ◽  
pp. 4959-4964
Keyword(s):  
Linear Regression ◽  
Pearson Correlation ◽  
Decision Time ◽  
Acceptance Rate ◽  
Statistical Relationship ◽  
Fuzzy Linear Regression ◽  
Correlation And Regression Analysis ◽  
Two Measures ◽  
The Relationship ◽  
Moderate Positive Correlation

In this paper, we propose a statistical relationship between acceptance rate & first decision time of some indexed journals by applying fuzzy linear regression (FLR). We collect the data from two web sources: Elsevier journal finder, and Springer journal suggester. In this problem, we concentrate on the data of the acceptance rate and first decision time. To examine the relationship between these measures, we apply a statistical approach, which is based on correlation and regression analysis. We determine the relative error (RE) of the data collected. We plot the scatter diagram between the two measures. Pearson correlation coefficient (CC) value is also calculated. All this analysis reports that there is a moderate positive correlation between acceptance rate & first decision time.

scholarly journals Statistical Relationship between Acceptance Rate and First Decision Time of Some Indexed Journals: A Correlation-Regression Technique

2019 ◽  
Vol 8 (12) ◽  
pp. 2781-2786
Keyword(s):  
Statistical Approach ◽  
Pearson Correlation ◽  
Decision Time ◽  
Acceptance Rate ◽  
Statistical Relationship ◽  
Correlation And Regression Analysis ◽  
Regression Approach ◽  
Two Measures ◽  
The Relationship ◽  
Moderate Positive Correlation

In this paper, we propose a correlation-regression approach to establish a statistical relationship between acceptance rate & first decision time of some indexed journals. We collect the data from two web sources: Elsevier journal finder, and Springer journal suggester. In this problem, we concentrate on the data of the acceptance rate and first decision time. To examine the relationship between these measures, we apply a statistical approach, which is based on correlation and regression analysis. We determine the relative error (RE) of the data collected. We plot the scatter diagram between the two measures. Karl Pearson correlation coefficient (CC) value is also calculated. All this analysis demonstrates that there is a moderate positive correlation between acceptance rate & first decision time

scholarly journals Application of Correlation-Regression Method to Correlate the Statistical Relationship between the Parameters of Some Indexed Journals

2019 ◽  
Vol 9 (1) ◽  
pp. 505-509
Keyword(s):  
Regression Analysis ◽  
Statistical Approach ◽  
Decision Time ◽  
Acceptance Rate ◽  
Regression Method ◽  
Statistical Relationship ◽  
Correlation And Regression Analysis ◽  
Two Measures ◽  
The Relationship ◽  
Moderate Positive Correlation

This paper proposes an application of correlationregression method to establish the statistical relationship between acceptance rate & first decision time of some indexed journals. We collect the data from two web sources: Elsevier journal finder, and Springer journal suggester. In this problem, we concentrate on the data of the acceptance rate and first decision time. To examine the relationship between these measures, we apply a statistical approach, which is based on correlation and regression analysis. We determine the relative error of the data collected. We plot the scatter diagram between the two measures. Correlation coefficient value is also calculated, that checks the significant connection between the two variables. The correlation analysis and regression analysis demonstrate that there is a moderate positive correlation between acceptance rate & first decision time.

Mathematical coupling of data: correction of a common error for linear calculations

1986 ◽  
Vol 60 (1) ◽  
pp. 335-343 ◽  
Author(s):  
L. F. Moreno ◽  
H. H. Stratton ◽  
J. C. Newell ◽  
P. J. Feustel
Keyword(s):  
Linear Regression ◽  
Regression Coefficient ◽  
Pearson Correlation ◽  
Pearson Correlation Coefficient ◽  
Linear Regression Coefficient ◽  
Common Error ◽  
The Common ◽  
The Relationship ◽  
Scientific Environment ◽  
Mathematical Coupling

The need frequently arises in the scientific environment to investigate the relationship between quantities that are calculated from a common set of directly measured variables. However, the presence of error in the common set of measured variables distorts the relationship among the calculated quantities and can lead to incorrect conclusions. This article presents a method of correcting for such distortions in the Pearson correlation coefficient and in the linear regression coefficient for linear calculations involving two measured variables. The errors considered may be either independent of, or proportional to, the value of the variable being measured. Tests to determine whether these popular coefficients have values significantly different from zero are presented. An example from the physiology literature is presented to illustrate these techniques.

scholarly journals Assessing the Level of Mental Health of Medical Staff at a Private Hospital at the Time of Corona Virus Pandemic

2020 ◽  
Author(s):  
hadi alimoradi ◽  
mahsa nazari ◽  
reza jafari nodoushan
Keyword(s):  
Mental Health ◽  
Social Cohesion ◽  
Medical Staff ◽  
Pearson Correlation ◽  
Psychosocial Interventions ◽  
Negative Effects ◽  
Private Hospitals ◽  
Social Media Networks ◽  
Correlation And Regression Analysis ◽  
The Relationship

Introduction: Corona epidemic and quarantine enforcement, various effects on the psychological and social aspects of the population has left. The aim of this study is to investigate the relationship between depression, anxiety and relationship with medical staff and mental health is caused by corona. Methods: For this purpose, samples of 650 health personnel of private hospitals were selected. Inventory DASS, HADS, and selected social cohesion (Keyes) and the Internet and through social media networks were evaluated. To analyze the data, Pearson correlation and regression analysis were used. Results: The results showed that straw anxiety corona) to negative (and social cohesion caused by corona) to positive (mental health correlates. It was also found that anxiety and social cohesion caused by corona, respectively 47 and 26 percent predict changes in mental health. Conclusion: These results show the positive and negative effects of psychosocial interventions in quarantine and it have practical implications in the development of the epidemic crisis is Corona.

scholarly journals Psychological Capital: Gender Differences and its Relationship with Job Involvement

2018 ◽  
Vol 3 (4) ◽  
pp. 383-387
Author(s):  
Kalpana Rani ◽  
Sowgandhi Chaturvedula
Keyword(s):  
Gender Differences ◽  
Psychological Capital ◽  
Pearson Correlation ◽  
Job Involvement ◽  
Armed Forces ◽  
Leadership Challenges ◽  
Correlation And Regression Analysis ◽  
Sample Data ◽  
Female Officers ◽  
The Relationship

This preliminary study explored the relationship between positive psychological capital and job involvement among 100 male and 32 female officers of armed forces. It was hypothesised that officers with higher levels of PsyCap would also exhibit higher job involvement. The study also aimed to investigate whether gender differences in psycap had any influence on job involvement. Psychological capital questionnaire and job involvement scale were administered on the sample. Data was analysed using descriptive and inferential (Pearson correlation and regression analysis) statistics. It is found there is no evidence in support of gender difference in psycap. Psycap has a role in maintaining the job involvement among male officers. Implications of the findings and suggestions for developing positive behaviours which will be of great value to meet future leadership challenges in light of complex and volatile military situations.

scholarly journals Fuzzy Linear Regression of Rainfall-Altitude Relationship

Proceedings ◽  
2018 ◽  
Vol 2 (11) ◽  
pp. 636
Author(s):  
Christos Tzimopoulos ◽  
Christos Evangelides ◽  
Christos Vrekos ◽  
Nikiforos Samarinas
Keyword(s):  
Linear Regression ◽  
Rainfall Data ◽  
Fuzzy Regression ◽  
Annual Rainfall ◽  
Fuzzy Linear Regression ◽  
Error Terms ◽  
Classical Linear Regression ◽  
The One ◽  
The Relationship ◽  
Imprecise Parameters

Classical linear regression has been used to measure the relationship between rainfall data and altitude in different meteorological stations, in order to evaluate a linear relation. The values of rainfall are supposed as dependent variables and the values of elevation of each station as independent variables. It has long been known that a classical statistical relationship exists between annual rainfall and the station elevation which in many cases is linear as the one examined in this article. However classical linear regression makes rigid assumptions about the statistical properties of the model, accepting the error terms as random variables, and the violation of this assumption could affect the validity of the classical linear regression. Fuzzy regression assumes ambiguous and imprecise parameters and data. For this reason it may be more effective than classical regression. In this paper we evaluate the relationship between annual rainfall data and the elevation of each station in Thessaly’s meteorological stations, using fuzzy linear regression with trapezoidal membership functions. In this possibilistic model the dependent measured elevations are crisp, and the independent observed rainfall values as well as the parameters of the model are fuzzy.

scholarly journals The Relationship between Cognition, Personality and Feeling, with Customer Purchase Intention in E-Commerce Marketing

2015 ◽  
Vol 6 (1) ◽  
pp. 88
Author(s):  
Somayeh Baadab Barzegar ◽  
Mohammad Reza Hoshyar Sadeghian ◽  
Roghayeh Hassanzadeh
Keyword(s):  
Linear Regression ◽  
Purchase Intention ◽  
Pearson Correlation ◽  
Analysis Model ◽  
Personality Variables ◽  
The Past ◽  
Pearson Correlation Test ◽  
Online Stores ◽  
The Relationship ◽  
Path Analysis Model

<p>E-commerce, has distinguished today's world from the past strictly, But the organizations with knowing its usage can apply it very well. The purpose of this study is investigation of the effect of the cognition, feelings and personality variables on customer purchase intention from online stores in e-commerce. To test the hypothesis of research, Pearson correlation test, linear regression and path analysis model were used. The results of this research has showed that online stores’ managers, according to personality, emotional and cognitive traits of customers, will allocate a larger share of virtual market of e-commerce to themselves.</p>

scholarly journals EFISIENSI TEKNIS DAN PENDAPATAN USAHA TANI BAWANG MERAH DI KECAMATAN KOTA GAJAH KABUPATEN LAMPUNG TENGAH

2021 ◽  
Vol 9 (4) ◽  
pp. 545
Author(s):  
Adam Rahmatulloh ◽  
Fembriarti Erry Prasmatiwi ◽  
Lina Marlina
Keyword(s):  
Linear Regression ◽  
Correlation Analysis ◽  
Technical Efficiency ◽  
Coefficient Of Variation ◽  
Pearson Correlation ◽  
Income Risk ◽  
Pearson Correlation Analysis ◽  
Farmer Groups ◽  
The Relationship ◽  
Very High

This study mainly purposes to analyze revenue, risk, relationship between revenue with risk, technical efficiency, and factors that affecting technical efficiency of shallot farming. The research location is located in Kota Gajah Sub District, Central Lampung Regency with and the data was collected in July - August 2019 using census method. The number of respondents are 40 farmers members of three farmer groups who have planted shallots. The data are analyzed using revenue analysis, coefficient of variaton, Pearson Correlation Analysis, technical efficiency using Frontier Function, and multiple linear regression. The study shows that shallot farming income from cash costs and total costs Rp15.142.901,83/hectare and Rp4.002.020,84/hectare, respectively. Therefore coefficient of variation of income risk is 1,02 indicating that the risk of farming is very high. The relationship between revenue risk and revenue level is quite close. The shallot farming is technically efficient yet. The factors that significantly affecting technical efficiency are farming costs, revenue, and revenue risk.Key words: efficiency, farmers, revenue, risk, shallot.

scholarly journals CREATIVITY VIS-�-VIS SPEAKING AMONG EXTROVERT AND INTROVERT EFL LEARNERS

2018 ◽  
Vol 4 (1) ◽  
pp. 11
Author(s):  
Hamid Marashi ◽  
Asal Amin Ranjbar
Keyword(s):  
Linear Regression ◽  
Correlation Coefficient ◽  
Pearson Correlation ◽  
Personality Inventory ◽  
Pearson Correlation Coefficient ◽  
Efl Learners ◽  
Speaking Test ◽  
Speaking Skill ◽  
The Relationship

The study attempts to investigate the relationship between extrovert and introvert EFL learners� speaking skill and their creativity. For this purpose, 40 male introverts, 40 male extroverts, 40 female introverts, and 40 female extroverts were selected among a total number of 180 through their performance on the Eysenck�s Personality Inventory. Subsequently, the Abedi-Schumaker Creativity Test and a sample PET speaking test were administered to all 160 participants of the study. The Pearson correlation coefficient was subsequently used to check the correlation between speaking and creativity of each group of extrovert and introvert EFL learners. The results indicated that there was a significant correlation between each group�s speaking and creativity. Furthermore, a linear regression was also run to check any predictability pattern. The findings demonstrated that each group�s speaking predicted significantly their creativity. Keywords: creativity, extrovert, introvert, speaking skill

scholarly journals Sunspot magnetic fields: a comparison between the CrAO and SDO/HMI data

2020 ◽  
Vol 1 (2) ◽  
pp. 1-5
Author(s):  
Regina Biktimirova ◽  
Valentina Abramenko
Keyword(s):  
Magnetic Field ◽  
Linear Regression ◽  
Linear Approximation ◽  
Pearson Correlation ◽  
Field Measurements ◽  
Maximum Modulus ◽  
Maximum Magnetic Field ◽  
Magnetic Field Measurements ◽  
The Relationship ◽  
The Magnetic Field

We performed a digitization of maximum magnetic field measurements in sunspots. The original data were acquired as drawings at the Crimean Astrophysical Observatory of the Russian Academy of Sciences (CrAO RAS). About 1000 sunspots observed in 2014 have been analyzed. The data were compared to the corresponding measurements from the SDO/HMI instrument (with both the line-of-sight magnetic field Bz(HMI) and the modulus of the magnetic field vector B(HMI)). For the same sunspot, the maximum modulus of the magnetic field derived at CrAO was compared to the corresponding value from HMI. The Crimean data and the space-based data (of both types) were found to be in direct proportion to each other. A linear approximation over the entire range of measurements (1–4) kilogauss (kG) shows a Pearson correlation coefficient of 0.71 (with the 95 % confidence boundaries of 0.68–0.74) and a slope of linear regression of 0.65±0.02 for both types of the space-based data. A linear approximation over the range of strong fields B(CrAO) > 1.8 kG gives a similar correlation, however the slope of linear regression is far closer to unity and constitutes 0.90 for the relationship (Bz(HMI) vs B(CrAO)) and 0.84 for the relationship (B(HMI) vs B(CrAO)). In the range of weak fields B(CrAO) < 1.8 kG, a non-linear deviation (exceeding) of the space-based data is observed. Non-linearity can be explained, in part, by a specific routine of the magnetic field measurements at CrAO, however further investigations are needed to explore sources of possible non-linearity in the HMI data. The Crimean measurements of the maximum magnetic field in sunspots are concluded to be in good agreement with the corresponding SDO/HMI measurements, and therefore they can be used for scientific purposes.

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