Principal component and multiple regression analysis in modelling of ground-level ozone and factors affecting its concentrations

2005 ◽  
Vol 20 (10) ◽  
pp. 1263-1271 ◽  
Author(s):  
Sabah A. Abdul-Wahab ◽  
Charles S. Bakheit ◽  
Saleh M. Al-Alawi
Keyword(s):  
Regression Analysis ◽  
Multiple Regression Analysis ◽  
Multiple Regression ◽  
Principal Component ◽  
Ground Level ◽  
Factors Affecting ◽  
Ground Level Ozone

scholarly journals Factors that affect employee motivation at Bentre Import Export Joint- stock Corporation (Betrimex)

2020 ◽  
Vol 5 (1) ◽  
pp. first
Author(s):  
Huỳnh Thanh Tú ◽  
Ung Hoàng Khang
Keyword(s):  
Regression Analysis ◽  
Multiple Regression Analysis ◽  
Multiple Regression ◽  
Working Conditions ◽  
Work Performance ◽  
Employee Motivation ◽  
Factors Affecting ◽  
Research Results ◽  
Exploratory Data ◽  
Stock Corporation

The research on factors that affect employee motivation at Bentre Import Export Joint- stock Corporation (Betrimex) has special significance in motivating employees, attracting and retaining talent, thereby helping the Corporation improve work performance. During the research, 300 employees working at Betrimex were surveyed and 250 employees with valid answer sheets were selected, survey data was processed with the SPSS software and the research model through scale reliability analysis, exploratory data analysis, correlation analysis and multiple regression analysis was tested. The research results have shown 07 factors affecting employee motivation at Betrimex, measured through 37 observed variables and including the pay, bonuses, benefits, allowances, working conditions, relationships with colleagues and relationships with superiors. Where the pay (b = 0.403) is the factor that has the most powerful influence on employee motivation and working conditions (b = 0.171) have the least influence on employee motivation. The results of multiple regression analysis have also showed that the adjusted R2 is 0.732. Thus, 07 independent variables can explain 73.2% of the variations of the dependent variables. Also, the research results have tremendous implications for developing strategies and plans for human resources development of Betrimex in the future.

scholarly journals ANALISIS PENYIMPANGAN PENGGUNAAN LAHAN BERDASARKAN RENCANA TATA RUANG WILAYAH KABUPATEN SUMEDANG

2018 ◽  
Vol 20 (4) ◽  
pp. 399
Author(s):  
Reny Khaerani ◽  
Santun R.P. Sitorus ◽  
Omo Rusdiana
Keyword(s):  
Principal Component Analysis ◽  
Land Use ◽  
Regression Analysis ◽  
Multiple Regression Analysis ◽  
Multiple Regression ◽  
Human Resource ◽  
Spatial Planning ◽  
Rapid Development ◽  
Principal Component ◽  
Spatial Plan

Spatial plan is the result of spatial planning which is done through the process and procedure of arranging and determining based on the prevailing laws and regulations. The phenomenon that often happens is the deviation of existing land use with spatial plan. Sumedang Regency is experiencing a fairly rapid development, so there is an increase in human resource activity that implicate the widespread space needs and consequently deviation of land use is very vulnerable. The purpose of this study to determine the extent of deviation of land use occurs as well as what factors affect the occurence of irregular use of land. The analysis used in this study using GIS approach, Principal Component Analysis and Multiple Regression Analysis. The result of analysis shows that there are 25 types of deviation of existing land use and the most dominant is deviation into wetland (18,364 ha), dryland field (8,405 ha) and widened land (7,741 ha). While the factors that influence the occurence of deviation of land use are population and settlement, availability of land, infrastructure and accessibility, and sosioeconomic condition of society

DETERMINING SIGNIFICANT FACTORS AFFECTING GREEN BUILDING PRICE USING MULTIPLE REGRESSION ANALYSIS

2020 ◽  
Vol 7 (2) ◽  
pp. 61
Author(s):  
Nur Syafiqah Jamil ◽  
Thuraiya Mohd ◽  
Suraya Masrom
Keyword(s):  
Regression Analysis ◽  
Multiple Regression Analysis ◽  
Multiple Regression ◽  
House Prices ◽  
Spillover Effect ◽  
Green Building ◽  
Factors Affecting ◽  
Klang Valley ◽  
Empirical Experiment ◽  
Significant Factors

The green building (GB) can be defined as the method of increasing the efficiency of the building and site. However, the spillover effect of GB price in Malaysia has not widely been discovered as there are limited case studies on this issue. This paper attempts to determine the significant factors that influence the GB price. The empirical experiment has been conducted to test the Multiple Regression Analysis (MRA) model on a real dataset of house prices in the area of Klang Valley, Selangor with GB specifications. The result showed that factors related to tenure have significant contributions to the GB price

scholarly journals Multiple Regression Analysis of Factors Affecting the Mental Component Score Constituents of SF-36 in Adult Spinal Deformity

2016 ◽  
Vol 6 (1_suppl) ◽  
pp. s-0036-1583073-s-0036-1583073
Author(s):  
Selim Ayhan ◽  
Selcem Yuksel ◽  
Asli Niyazi ◽  
Vugar Nabiyev ◽  
Ümit Özgür Güler ◽  
...  
Keyword(s):  
Regression Analysis ◽  
Multiple Regression Analysis ◽  
Multiple Regression ◽  
Spinal Deformity ◽  
Adult Spinal Deformity ◽  
Mental Component Score ◽  
Factors Affecting ◽  
Component Score ◽  
Sf 36
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