Study on the Fitness of the Cup Mold for Female Teenager's Bra

2013 ◽  
Vol 796 ◽  
pp. 497-501 ◽  
Author(s):  
Hui Li ◽  
Zhi Hua Feng
Keyword(s):  
Regression Analysis ◽  
Statistical Analysis ◽  
Correlation Analysis ◽  
Measurement Data ◽  
Regression Equations ◽  
Manual Measurement ◽  
Value Range ◽  
Spss Software

In this paper, we analyzed the data of the 6 body breast sizing measurement parameters of 162 girl participants who were from Jiangsu aged 13-16, which were collected by the manual measurement. Then, the statistical analysis of the measurement data was carried out in the SPSS software, including the correlation analysis and the regression analysis. From the results of the analysis, we got four regression equations and the value range of four measurement parameters, which were used to design the size of the fitting mold of the girlish mold-cup bra.

The Effects of Exercise Commitment Facilitated by Service Quality of Smartphone Exercise Applications on Continued Exercise Intention

2019 ◽  
Vol 118 (1) ◽  
pp. 14-19
Author(s):  
Boo-Gil Seok ◽  
Hyun-Suk Park
Keyword(s):  
College Students ◽  
Factor Analysis ◽  
Regression Analysis ◽  
Statistical Analysis ◽  
Correlation Analysis ◽  
Service Quality ◽  
Frequency Analysis ◽  
Primary Data ◽  
Exercise Intention

Background/Objectives: The purpose of this study is to examine the effects of exercise commitment facilitated by service quality of smartphone exercise Apps on continued exercise intention and provide primary data for developing and/or improving smartphone exercise Apps. Methods/Statistical analysis: A questionnaire survey was conducted amongst college students who have experiences in using exercise App(s) and regularly exercise. The questionnaire is composed of four parts asking about service quality, exercise commitment, continued exercise intention, which were measured with a 5-point Likert Scale, and demographics. Frequency analysis, factor analysis, correlation analysis, and regression analysis were carried out to analyze the obtained data with PASW 18.0.

scholarly journals Economic Growth : The Impact of Zakat Funds and Tax on Business Capital

IKONOMIKA ◽  
2020 ◽  
Vol 5 (2) ◽  
pp. 141-156
Author(s):  
Sri Dewi Anggadini (Universitas Komputer, Indonesia) ◽  
Surtikanti Surtikanti (Universitas Komputer, Indonesia) ◽  
Faez M. Hassan (Mustansiriyah University, Iraq)
Keyword(s):  
Economic Growth ◽  
Regression Analysis ◽  
Statistical Analysis ◽  
Data Processing ◽  
Multiple Regression Analysis ◽  
Distribution Data ◽  
Regression Equations ◽  
West Java ◽  
Local Taxes ◽  
The Impact

This study aims to determine the effect of Zakat Funds and Tax on Business Capitales on Economic Growth. The population in this study is the data of the Province of West Java from 2010 to 2017 where the economic growth report, Tax on Business Capital report and zakat fund distribution report are used.   The sample taken by the author in this study is the Zakat Fund Distribution Data, Tax on Business Capital Data and the Gross Regional Domestic Product (PDRB) data of West Java Province from 2010 to 2017. Researchers used multiple statistical analysis and correlation methods. To obtain more accurate results in multiple regression analysis, classic assumption testing is executed so that the results obtained are regression equations. The results of the study show that the Zakat Fund Distribution and Tax on Business Capital data have a significant effect on economic growth. Based on data processing, it shows that the distribution of zakat funds and local taxes simultaneously in providing an influence on economic growth variables of 76%. While the rest of 100% - 76% = another 24%  is the influence of other variables not examined in this study.Keywords : Zakat Funds; Tax on Business Capital; Economic Growth

scholarly journals The Impact of Attitude and Subjective Norms towards Zakat Compliance Behavior in Malaysia

2018 ◽  
Vol 7 (3.21) ◽  
pp. 171 ◽  
Author(s):  
Aidanazima Abashah ◽  
Irza Hanie Abu Samah ◽  
Ummi Naiemah Saraih ◽  
Intan Maizura Abd. Rashid ◽  
Sayang Nurshahrizleen Ramlan ◽  
...  
Keyword(s):  
Regression Analysis ◽  
Correlation Analysis ◽  
Significant Relationship ◽  
Subjective Norms ◽  
Quantitative Approach ◽  
Muslim Community ◽  
Compliance Behavior ◽  
Spss Software ◽  
The Impact

Zakat always play as an important element for Muslims and it is the funding for Muslims community itself. The completion of this study will help to understanding the zakat concept among Muslim community in Malaysia and at the same time will increase the collection of zakat by zakat institution for Muslim development purpose. The effect of attitude and subjective norms towards zakat compliance behavior are the focus to be investigated further in this research. The study was done among government servant in Malaysia by using a quantitative approach. 200 questionnaires were administrated among various level of government servant in Malaysia. Next, the data were analyzing by using SPSS Software. Correlation analysis and regression analysis were perform, thus the result indicates that attitude (r=0.417, sig=0.000, p<0.01) shows the highest of positive significant result towards zakat compliance behavior compared to other variable subjective norms (r=0.752, sig=0.305, p>0.05). This research warrant more investigation upon zakat compliance behavior and other variables. Thus, it has been shown that attitude give a significant relationship with zakat compliance behavior.  

scholarly journals Analysis Of The Effect Of Organizational Culture On Performance Of Employees (Case Study Of The Kominfo Office Of Pariaman City)

2020 ◽  
Author(s):  
Rizki Afri Mulia ◽  
Nika Saputra ◽  
Rianda Prima Putri
Keyword(s):  
Organizational Culture ◽  
Regression Analysis ◽  
Statistical Analysis ◽  
Linear Regression ◽  
Correlation Analysis ◽  
Employee Performance ◽  
Linear Regression Analysis ◽  
Simple Linear Regression ◽  
Service Personnel ◽  
Simple Linear Regression Analysis

This study aims to analyze, Influence Organizational Culture Against Employee Performance At the Office of Communications and Information Technology of Pariaman. This research is a quantitative research that shows a causal relationship. The sample in this study were 47 employees. Data collection techniques used were observation, questionnaire and documentation. Data analysis techniques used are descriptive statistical analysis using percentages, averages, and standard deviations and for inferential statistical analysis using data normality tests, simple linear regression analysis, and product moment correlation analysis. The results of the study show that the organizational culture is in a very good category in terms of indicators, namely: Innovation and Courage to take risks; Attention to detail; Results oriented; Human oriented; Team oriented; Aggressive; and stable. Employee performance is in a very good category in terms of indicators of discipline of service personnel, responsibility of service personnel, ability of service personnel, politeness and friendliness of officers, based on simple linear regression analysis shows that there is an influence of organizational culture on employee performance at the Pariaman City Communication and Information Agency Pariaman City. From the results of product moment correlation analysis obtained a significant level of relationship between the influence of organizational culture on the performance of employees at the Office of Communication and Information Office of Pariaman City, Pariaman City with the Strong category.

scholarly journals The Statistical Analysis of Multidimensional Psychological Characteristics and User Feedback Willingness

2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Haiying Wang ◽  
Yaning Li ◽  
Chang Zhou ◽  
Haizhe Jin ◽  
Lin Wang
Keyword(s):  
Information Theory ◽  
Regression Analysis ◽  
Statistical Analysis ◽  
Correlation Analysis ◽  
Personality Traits ◽  
Cognitive Styles ◽  
Psychological Characteristics ◽  
Feedback Process ◽  
Feedback Information ◽  
Motivation Factors

The purpose of this paper is to study the influence of multidimensional psychological characteristics on users’ feedback intention by using several statistical analysis methods based on information theory. The feedback process can be described as a communication process based on information theory. The feedback information entropy is associated with the degree of uncertainty elimination of the users who provide feedback information. Many factors are related to this uncertainty, such as information senders often stopped feedback process for some reasons and information senders may have provided fake or spam information. In order to encourage more useful feedback information, a model of a user’s willingness to provide feedback was established with personality traits and cognitive styles as independent variables, feedback motivation as intermediary variables, and feedback willingness as the dependent variable. 206 online and offline questionnaires were obtained to be analyzed by correlation analysis, regression analysis, and structural equation analysis. Cronbach’s α coefficient was used to test the reliability of the questionnaire, and exploratory factor analysis method was used to verify the validity of the questionnaire. First, correlation analysis was used to explore the correlation between personality traits, cognitive styles, and motivation factors. Second, we further explored the strength of the relationship of the five correlated groups of variables through linear regression analysis. At last, we conducted structure equation analyses to test the hypotheses. The results show that both personality traits and cognitive styles can have a significant impact on feedback motivation factors and also show that self-efficacy may be the only evident feedback motivation to encourage useful feedback information. The results show that the willing users with extraversion trait are more likely be motivated by self-efficacy and thus have evident feedback willingness.

scholarly journals Modeling of temporal development of population taking into account the situation of municipalities in the resettlement system (according to the example of the Tyumen Region)

2020 ◽  
Vol 26 (1) ◽  
pp. 215-227
Author(s):  
V. Dobryakova ◽  
A. Dobryakov
Keyword(s):  
Regression Analysis ◽  
Statistical Analysis ◽  
Spatial Statistics ◽  
Network Data ◽  
Regression Equations ◽  
Temporal Development ◽  
Data Set ◽  
Regional Center ◽  
Definition Of ◽  
The Relationship

The work is devoted to application of spatial statistics and regression analysis tools in the ArcGIS Pro program. In this report we try to confirm two theories in the relationship between positional characteristics of municipalities and the temporal development of population: The farther the locality is from the main settlement of the territory, the faster it loses its own population. The farther the locality is from the main highways of the territory, the faster it loses its own population. The main aim of this article is to find the strictest definition of the type of correlation between such specific distances as the distance to the regional center, the distance to the nearest highway and the relative changes in the municipalities’ population, according to the example of the Tyumen region. A network data set was created to calculate the distances, it contains several elements: main roads, calculated centers of municipalities (CM), lines — distances from centers to the nearest road (“stops”). For the study we used information on changes of population for 4 periods: 1981–1990, 1990–2002, 2002–2010 and 2010–2018. The dependence was done by enumerating the degrees of distances. We considered that the dependence was selected in case the relevant correlation coefficient was the largest. For each chosen relationship, ArcGIS Pro performed a complete statistical analysis, based on the results, the significance of the model was identified, residual maps constructed, and regression equations calculated. All the models except the first period turned out to be significant, but they were displaced, which indicates the existence of some unexplored factors. In the context of the constructed models, it was assumed that the distance to the regional center is closely connected with an expansion of the population in the surrounding municipalities, but the expansion gets more the closer the municipal district is to Tyumen. The distance to the nearest highway is associated with a decrease of population, and the farther the municipality is from the highway, the more it loses population.

İŞE BAĞLILIĞIN TÜKENMİŞLİK VE DEPRESYON DÜZEYLERİ ÜZERİNDEKİ ETKİLERİ: SAĞLIK ÇALIŞANLARI ÜZERİNDE BİR ARAŞTIRMA

2014 ◽  
Vol 1 (2) ◽  
pp. 206
Author(s):  
Haluk TANRIVERDİ ◽  
Mucize SARIHAN
Keyword(s):  
Regression Analysis ◽  
Correlation Analysis ◽  
Health Workers ◽  
Personal Information ◽  
Depression Scale ◽  
Work Commitment ◽  
Statistical Software ◽  
Research Hospital ◽  
Training And Research

The main purpose of this study is to examine the effects of health workers’ levels of work commitment on the levels of depression and burnout.  Having this purpose in mind, a questionnaire consisting of personal information form, work commitment scale, burnout scale and depression scale was conducted with 266 health workers of İstanbul Kartal Training and Research Hospital in May 2013. Data obtained from questionnaires were analyzed by SPSS 17,0 statistical software. Correlation analysis was utilized in order to determine the relationships among work commitment, burnout and depression levels of health workers whereas regression analysis was utilized in order to determine the effects of health workers’ levels of work commitment on the levels of depression and burnout. According to the results, it has been found that there are statistically relevant relationships among work commitment, burnout and depression levels of health workers. It has been concluded that the more health workers’ levels of work commitment increase, their levels of depression and burnout decrease.

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.

Awareness and perception of precautionary measures against Covid 19 exposure among dental practitioners- A questionnaire based study

2020 ◽  
Vol 11 (SPL1) ◽  
pp. 550-557
Author(s):  
Harini P ◽  
Abilasha R
Keyword(s):  
Statistical Analysis ◽  
Aerosol Formation ◽  
Dental Clinic ◽  
Attitude And Practice ◽  
Dental Practitioners ◽  
Hands On ◽  
The World ◽  
Spss Software ◽  
Precautionary Measures ◽  
Knowledge And Attitude

The most unexpected pandemic global outbreak is COVID 19 which is a newly discovered viral infection which originated in Wuhan, China and it caused the outbreak of pneumonia in the rest of the world. Dental practitioners are more susceptible to COVID 19 infection as their work is related to the aerosol formation during various procedures through which the virus spreads. The aim of the study is to create awareness about precautionary measures against COVID- 19 exposure among dental practitioners in Tamilnadu. A Survey based questionnaire was formulated with questions related to the various precautionary measures to be adopted by dental practitioners which would be effective to prevent Covid-19 exposure. A questionnaire with a total of 20 questions was circulated among dental practitioners and the responses were collected by google forms SPSS software statistical analysis was done. The overall awareness of dental practitioners against Covid-19 was above average. The dental practitioners were relatively well aware of the precautions to be adopted while treating the patients, but the implementation in practice is lacking due absence of hands-on experience in using various kinds of PPE. There is a gap between knowledge and attitude and practice among the participants of this survey. It is therefore essential to plan for organising training sessions and hands-on workshops for the use of PPE and public training of the general population regarding Covid-19 to improve the knowledge among the patients visiting the dental clinic as well.

Structural Relationships among Customer Delight, Exercise Commitment, and Psychological Happiness

2019 ◽  
Vol 118 (1) ◽  
pp. 8-13
Author(s):  
Boo-Gil Seok ◽  
Hyun-Suk Park
Keyword(s):  
College Students ◽  
Factor Analysis ◽  
Statistical Analysis ◽  
Confirmatory Factor Analysis ◽  
Correlation Analysis ◽  
Frequency Analysis ◽  
Structural Correlation ◽  
Structural Relationships ◽  
Confirmatory Factor ◽  
Customer Delight

Background/Objectives: The purpose of this study is to find out the structural relationships among customer delight, exercise commitment, and psychological happiness to contribute developing exercise Apps. Methods/Statistical analysis: A questionnaire survey was conducted and 160 college students who are familiar with mobile exercise applications participated. The data analyzed with frequency analysis, exploratory factor analysis, confirmatory factor analysis, correlation analysis, and structural correlation analysis. The validity and the reliability were obtained: customer delight (χ2=26.532, df=14, CFI=.985, TLI=.971, RMSEA=.075), exercise commitment (χ2=113.802, df=49, CFI=.956, TLI=.941, RMSEA=.091), and psychological happiness (χ2=15.338, df=8, CFI=.989, TLI=.980, RMSEA=.076, and Cronbach’s α=.906~.938).

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