scholarly journals Development of an Estimation Formula to Evaluate Mission Motion Suitability of Military Jackets

2021 ◽  
Vol 11 (19) ◽  
pp. 9129
Author(s):  
Hee-Eun Choi ◽  
Jung-Il Jun
Keyword(s):  
Regression Analysis ◽  
Multiple Regression Analysis ◽  
Explanatory Power ◽  
Regression Equations ◽  
Factor Analyses ◽  
Tracked Vehicle ◽  
Suitability Evaluation ◽  
Independent Variables ◽  
Estimation Formula ◽  
General Motion

We developed an estimation formula for mission motion suitability evaluation based on the general motion protocol to evaluate the motion suitability of a tracked vehicle crew jacket. Motion suitability evaluation was conducted for the 9 general motions and 12 mission motions among 27 tracked vehicle crew members who wore a tracked vehicle crew jacket. We conducted correlation and factor analyses on motions to extract the main mission motions, and a multiple regression analysis was performed on major mission motions using general motions as independent variables. As a result, two mission behavior factors related to ammunition stowing and boarding/entry were extracted. We selected ammunition stowing I and the boarding motion, which has the highest factor load in each factor and the highest explanatory power (R2) of the estimation formula. Regression equations for ammunition stowing consisting of five general motions (p < 0.001) and for boarding motion (p < 0.01) consisting of one general motion could be obtained. In conclusion, the estimation formula for mission motion suitability using general motion is beneficial for enhancing the effectiveness of the evaluation of military jackets for tracked vehicle crews.

PENGARUH PELATIHAN DAN MOTIVASI TERHADAP KINERJA KARYAWAN PADA KOPILOKA 3.0 PALEMBANG TAHUN 2021

2021 ◽  
Vol 1 (2) ◽  
pp. 145-152
Author(s):  
Juni Eliana Prasetya N ◽  
Moh. Faizal ◽  
Choirunnisak Choirunnisak
Keyword(s):  
Regression Analysis ◽  
Data Analysis ◽  
Multiple Regression Analysis ◽  
Multiple Regression ◽  
Work Motivation ◽  
Employee Performance ◽  
Independent Variables ◽  
Analysis Technique ◽  
Level Of Training ◽  
Positive Effect

In this study, there are results that contradict the theory which states that the higher the level of training and motivation, the employee's performance should increase.  In this study, training had no effect and motivation had no positive effect. This study aims to determine the effect of training and work motivation on employee performance in Kopiloka 3.0.  The population in this study were all employees at Kopiloka 3.0, which amounted to 15 people with a sample of 15 people using saturated sampling.  The data analysis technique in this study used SPSS 24 software, which consisted of data quality test, classical assumption test, multiple regression analysis, and hypothesis testing. By using multiple regression analysis, the results of the study show that training has no effect on employee performance.  Motivation has a significant effect on employee performance.  Simultaneously (together) the independent variables of training and motivation have an effect on employee performance.

scholarly journals IMPLIKASI PERUBAHAN UNDANG–UNDANG PERPAJAKAN TERHADAP KEPUTUSAN STRATEGI LEVERAGE BAGI PERUSAHAAN YANG TERDAFTAR DI PT. BURSA EFEK JAKARTA

2017 ◽  
Vol 12 (2) ◽  
pp. 227
Author(s):  
Sapari Sapari
Keyword(s):  
Regression Analysis ◽  
Multiple Regression Analysis ◽  
Stock Exchange ◽  
Negative Influence ◽  
Positive Influence ◽  
Independent Variables ◽  
Tax Shield ◽  
Independent Variable ◽  
Debt Tax Shield ◽  
Tax Regulation

This  research  examines the  connection between non debt tax shield and the change of leverage, between level of effective company tax and the change of leverage, and between operation income before depreciation and the change of leverage.This research takes 17 samples of  food and beverages companies listed in Jakarta Stock Exchange from 1st  January 1994 till 31st  December 1999. And this research uses data from 1994 – 1999 for the regression analysis. Multiple regression analysis is used to test hyphothesis 1 (H1), hyphothesis 2 (H2) and hyphothesis 3 (H3). Independent variables in the regression are level of effective company tax, non debt tax shield and operation income before depreciation, whilst independent variable in the regression is leverage.The result of this research proves that (1) non debt tax shield after the amendment of 1994 tax regulation (1995 – 1999) brings positive influence to the leverage change, (2) level of effective company tax after the amendment of 1994 tax regulation (1995 – 1999) brings negative influence to the leverage change, and (3) operation income before  depreciation  after the amendment of 1994 tax regulation (1995 – 1999) brings positive influence to the leverage change.

scholarly journals Quality Assurance among Childcare Employees in Selangor

2021 ◽  
Vol 18 ◽  
pp. 1498-1511
Author(s):  
Yaty Sulaiman ◽  
Ng Kel Lie
Keyword(s):  
Quality Assurance ◽  
Regression Analysis ◽  
Quality Management ◽  
Total Quality Management ◽  
Multiple Regression Analysis ◽  
Multiple Regression ◽  
Employee Commitment ◽  
Total Quality ◽  
Independent Variables ◽  
Employee Competencies

Caregiver or childcare employee is responsible to produce excellent quality in taking care of the children. A good practice of quality assurance among employees is important to develop the future generations. The objective of this research is to identify the factors that influence quality assurance among childcare employees in Selangor. It is to determine the relationship between factors (physical facilities, employee commitment, communication, and employee competencies) and quality assurance. A random sampling technique was used to select respondents from the registered childcare centers in Selangor, Malaysia. The study used quantitative approach through structured questionnaires developed from previous research. Among 450 survey questionnaires distributed, only 379 questionnaires were accepted and used for analysis. Study uses SPSS 22.0 to analyze data. Methodologies such as Pearson Correlation and Multiple Regression Analysis were conducted in analyzing the data. Findings revealed that quality assurance is having a positive relationship with physical facilities, employee commitment, communication, and employee competencies, with the overall results of the multiple regression analysis showed that all independent variables have relationships with the dependent variable at p=0.000. The result of this test also indicated that all independent variables have positive beta coefficient value as physical facilities, employee commitment, communication and employee competencies at 0.372, 0.251, 0.064 and 0.103 respectively. Thus, this study adds to better understanding of the total quality management (TQM) which is the main underlying theory used to develop the research framework. In general, Total Quality Management (TQM) advised on the factors such as physical facilities, employee commitment, employee competencies, and communication that when applied, could get the best result of employees.

Abstract 454: Impact of Uremia on Human Adipose Phenotype

2012 ◽  
Vol 32 (suppl_1) ◽  
Author(s):  
Karen J Ho ◽  
Hui Xue ◽  
Christine R Mauro ◽  
Binh T Nguyen ◽  
Peng Yu ◽  
...  
Keyword(s):  
Regression Analysis ◽  
Multiple Regression Analysis ◽  
Coronary Disease ◽  
Independent Predictor ◽  
Elective Surgery ◽  
Health Impact ◽  
Independent Variables ◽  
Multiplex Assays ◽  
Uremic Patients ◽  
Subcutaneous Adipose

Background: Recognition of adipose-related signaling participation in vascular processes is increasing, though direct interrogation of clinically relevant human adipose has been sparse. Few scenarios rival uremia for health impact. To advance understanding of the spectrum/determinants of human adipose biology, we compared fresh extremity adipose from patients with/without uremia. Methods: Subcutaneous adipose and clinical data was collected from patients undergoing open elective surgery. Protein was isolated, and mediator levels determined via multiplex assays. Results: In the 71 patient cohort, mean age=63.4y; 63.3% had diabetes, 49.2% had hyperlipidemia and 53.5% had coronary disease. Compared to non-uremic patients, uremic patients had 1/10th the levels of leptin, 1/3rd the levels of adiponectin, and 3-fold higher levels of resistin (Table 1). Females had 6-fold higher leptin, 1.5-fold higher adiponectin and 2-fold higher TNF but equivalent resistin. There were no differences in mediator levels when stratified by age. In both the obese/non-obese strata, we observed a concordant pattern of association (magnitude/significance) of uremia and leptin/adiponectin/resistin. No differentials in other mediators emerged upon BMI stratification. Multiple regression analysis for leptin/adiponectin/resistin (with age/gender/uremia as independent variables) showed uremia as the highest independent predictor of all three mediators, followed by gender, whereas age had no effect. Conclusions: Based on direct biopsy of living human adipose, uremia is associated with adiposopathy, including perturbations in the adipose derived hormones leptin, adiponectin, and resistin. Compared with other parameters including BMI, uremia overall dominated in determining adipose phenotype.

scholarly journals Moderating Effect of Mindfulness on the Influence of Stress on Depression According to the Level of Stress among University Students in South Korea

2020 ◽  
Vol 17 (18) ◽  
pp. 6634
Author(s):  
Kwang-Hi Park ◽  
Hyunlye Kim ◽  
Jaehee Kim
Keyword(s):  
Regression Analysis ◽  
University Students ◽  
South Korea ◽  
Multiple Regression Analysis ◽  
Multiple Regression ◽  
Life Stress ◽  
Mental Health Problems ◽  
Explanatory Power ◽  
Moderating Effect ◽  
The Impact

Stress and depression are representative of the mental health problems of university students worldwide. This cross-sectional study explored the moderating effect of mindfulness on the influence of stress on depression according to the degree of life stress. The participants were 738 university students in years 2–4 in five 4-year universities in South Korea. Depression was positively correlated with stress and negatively with mindfulness at a statistically significant level. In multiple regression analysis, stress was found to have an effect by increasing depression, and mindfulness by relieving depression. In the moderated multiple regression analysis, mindfulness had a moderating effect on the impact of stress on depression only in low-stress groups, showing that the interaction of stress with mindfulness was significantly negative (β = −0.11, t = −2.52, p = 0.012) and the inclusion of this interaction significantly increased the explanatory power for depression variation (F change 6.36, p = 0.012) in the full model. In conclusion, we suggest considering stress levels in the development of mindfulness-based intervention strategies to effectively manage the depression of university students.

scholarly journals Establishment of palatability estimation formula of rice by multiple regression analysis.

1985 ◽  
Vol 32 (1) ◽  
pp. 51-60 ◽  
Author(s):  
Shinjiro CHIKUBU ◽  
Shozo WATANABE ◽  
Teizo SUGIMOTO ◽  
Naotake MANABE ◽  
Fujitoshi SAKAI ◽  
...  
Keyword(s):  
Regression Analysis ◽  
Multiple Regression Analysis ◽  
Multiple Regression ◽  
Estimation Formula

Application of multiple regression analysis to morphometric characters obtained from Serranus cabrilla (linnaeus, 1758) by using stepwise method

2017 ◽  
Author(s):  
Levent Sangün ◽  
O. Ýnanç Güney
Keyword(s):  
Body Weight ◽  
Regression Analysis ◽  
Multiple Regression Analysis ◽  
Multiple Regression ◽  
The Body ◽  
Stepwise Multiple Regression ◽  
Morphometric Characters ◽  
Independent Variables ◽  
Fisheries Science ◽  
Stepwise Method

In fisheries science, high number of morphometric measures (independent variables) taken from different parts of the fish complicates the estimation of the body weight (dependent variable). Therefore, the researchers are seeking for a solution facilitating the interpretation of the equations of correlation between the characteristics. One way to deal with this challenge is the dimension reduction by means of stepwise multiple regression analysis. The aim of this study is to explain total variation with the same accuracy by using fewer independent variables. To accomplish this, 12 morphometric measures from 210 individuals of Serranus cabrilla were measured to estimate the body weight. Firstly, the 95% of the variation was explained by means of multiple regression analysis by using all variables. Then, by step-wise method, the same results were achieved with fewer independent variables. Finally, the variables with inter-multicollinearity eliminated and with two remaining independent variables determination coefficients resulted as 95%. The result showed that using more variables does not create significant distinction for accuracy to estimate the body weight although; the total length and body dept was the most effective features for weight.

scholarly journals Cephalometric Floating Norms as a Guide toward a Harmonious Individual Craniofacial Pattern among Filipinos

2009 ◽  
Vol 79 (6) ◽  
pp. 1162-1168 ◽  
Author(s):  
Marian Almyra Sevilla-Naranjilla ◽  
Ingrid Rudzki-Janson
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Multiple Regression Analysis ◽  
Multiple Regression ◽  
Standard Error ◽  
Pearson Correlation ◽  
Linear Regression Analysis ◽  
Regression Equations ◽  
Correlated Variables ◽  
The Individual

Abstract Objective: To construct a harmony box based on correlated cephalometric variables, which may serve as a valuable diagnostic tool in orthodontic treatment planning, by analyzing the harmonious relationships of existing individual craniofacial patterns among Filipinos. Materials and Methods: Eighty-one subjects, 37 females and 44 males, were selected from the student population of a University according to established inclusion criteria. Five cephalometric angular measurements were obtained and digitized. Pearson correlation coefficients described the high association among the five variables. The bivariate linear regression analysis was used to construct a harmony box, which contained the cephalometric floating norms of the five correlated variables. Multiple regression analysis and the standard error of the estimate were calculated to construct the harmony schema, which describes the individual craniofacial pattern. Results: Correlations between the five variables were significant at .001 and .05 levels. Linear regression equations with corresponding r2 and standard error of the estimate (SE) were illustrated as the harmony box. The multiple correlation coefficient R, the adjusted R2, and the SE when one of the five measured variables was predicted from the remaining four by means of a multiple regression analysis were displayed as the harmony schema. Conclusion: The cephalometric floating norms describing the individual craniofacial pattern among Filipinos were established based on five correlated variables in the form of a harmony box.

scholarly journals Evaluation of Motor Transport Infrastructure Influence on Socio-Economic Indicators of Minsk Region

2018 ◽  
Vol 17 (4) ◽  
pp. 314-319
Author(s):  
R. B. Ivut ◽  
P. V. Popov ◽  
P. I. Lapkovskaya ◽  
I. V. Emelyanovich
Keyword(s):  
Economic Development ◽  
Regression Analysis ◽  
Multiple Regression Analysis ◽  
Multiple Regression ◽  
Transport Infrastructure ◽  
Economic Indicators ◽  
Infrastructure Development ◽  
Independent Variables ◽  
Socio Economic Development ◽  
The Republic

The paper substantiates the necessity to study a transport infrastructure in the context of its impact on socioeconomic indicators pertaining to the development of a certain region. The importance of this study is confirmed by the goals and objectives of the transport system development of the Republic of Belarus, which are outlined in the National Strategy of the Republic of Belarus for Sustainable Socio-Economic Development for the period until 2030, and they are considered as well as priority areas for the development of Minsk region, presented in the Sustainable Development Strategy of Minsk Region for 2016–2025. The influence of eight indicators for transport infrastructure development of Minsk region on four key socio-economic indicators of the region development such as gross regional product, investment in fixed assets, revenues of consolidated budgets, average wage level has been investigated in the paper. A multiple regression analysis has been applied for assessing a relationship between dependent and independent variables. A step selection method has been used as a method of multiple regression analysis. All calculations have been carried out in the IBM SPSS Statistics 20 program. As a result of the study correlation indicators have been established between dependent and independent variables, relationships between variables and dependencies have been determined in the paper. The reliability of the obtained results have been verified with the help of the Fisher and Student's criteria. The obtained results have made it possible to identify key indicators for a transport infrastructure of Minsk region which have the greatest impact on socio-economic development of this region and can be used to analyze an investment attractiveness of Minsk region.

scholarly journals Mencari Variabel-variabel Yang Mempengaruhi Sikap Mental Entrepreneural (Wirausaha)Pada Pemerintah Kabupaten Serdang Bedagai

2006 ◽  
Vol 6 (2) ◽  
pp. 155
Author(s):  
Arfan Ikhsan
Keyword(s):  
Regression Analysis ◽  
Key Words ◽  
Multiple Regression Analysis ◽  
Multiple Regression ◽  
Mental Attitude ◽  
Independent Variables ◽  
Independent Variable

<p class="Style1">This research try to find some variables that influence entrepreneurial mental attitude at government of Serdang Bedagai Regency. independent variable which considered in this research is hierarchy, formalizes, trust, mission, ethics and regulation barriers level. Those independent variables will be able to improve society satisfaction, reduc­tion of level of bureaucracy and improvement of risking tendency. The data of this research collected from organization chart of Serdang Bedagai Regency. Amount of 68 responders participated in this research. Hereinafter this data processed by using multiple regression analysis. The result shows that formalizes, trust, mission, ethics and regulation barriers level have an effect significantly toward society satisfaction and also bureaucracy. Meanwhile risking tendency is significantly influenced by hierarchy, formalizes, mission and ethics.</p><p class="Style1" align="center">Key Words: hierarchy, formalizes, trust, mission, ethics and regulation barriers level</p>

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