Study on the optimal process scheme for the selectivity of C4 olefins based on correlation analysis and linear regression

2021 ◽  
Author(s):  
Shuoru Qiu ◽  
Ying He ◽  
Yaru Chen
Keyword(s):  
Linear Regression ◽  
Correlation Analysis ◽  
Optimal Process ◽  
Process Scheme

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 How Web Shops Impact Consumer Behavior?

2021 ◽  
Vol 15 (3) ◽  
pp. 350-356
Author(s):  
Helena Štimac ◽  
Ivan Kelić ◽  
Karla Bilandžić
Keyword(s):  
Multivariate Analysis ◽  
Linear Regression ◽  
Correlation Analysis ◽  
Reliability Analysis ◽  
Online Shopping ◽  
Customer Behavior ◽  
Descriptive Statistics ◽  
Firm Reputation ◽  
Marketing Actions ◽  
The Impact

The behavior of e-customers is quite unpredictable, which raises additional questions about this topic. The purpose of the paper is to conduct research on e-customers, understand the impact of marketing actions on e-customer behavior and understand the unpredictability of e-customers. Research was conducted on the Mlinar web shop that sells cakes. 284 respondents/buyers had the opportunity to solve questionnaires about behavior after purchase and consumption of product. Different methods have been used in the analysis - descriptive statistics, multivariate analysis (reliability analysis, correlation analysis and linear regression) and analysis of variance (ANOVA). The results showed that most examinees were satisfied with online shopping on the Mlinar web shop and that they are impulsive when online shopping. Saving time is the main reason to buy on a web shop. Research proved that variables such as firm reputation/perceived value, e-satisfaction and online services positively affect the creation of e-loyalty in their users.

Characterization of Fabric Friction Performance by CHES-FY System

2013 ◽  
Vol 821-822 ◽  
pp. 1492-1498 ◽  
Author(s):  
Rui Qiang Gao ◽  
Zhao Qun Du ◽  
Wei Dong Yu
Keyword(s):  
Linear Regression ◽  
Correlation Analysis ◽  
Multiple Linear Regression ◽  
Surface Friction ◽  
Regression Equation ◽  
New Apparatus ◽  
Friction Performance ◽  
Fabric Surface ◽  
Orthogonal Tests

The paper mainly introduces a new apparatus (CHES-FY) to measure fabric surface friction. Compacted with the KES-FB system, the CHES-FY system has its own superiority. Through designing orthogonal tests, corresponding properties of 16 groups fabrics were measured by CHES-FY system. Based on the correlation analysis between KES-FB system with CHES-FY system, it indicates that the two systems have high correlations. Thereafter, regression equation that includes four parameters through multiple linear regression were achieved. It reports that CHES-FY system is feasible and accurate in measuring fabric surface friction performance.

scholarly journals Association between Diabetes Knowledge and Self-Efficacy in Patients with Type 2 Diabetes Mellitus in China: A Cross-Sectional Study

2020 ◽  
Vol 2020 ◽  
pp. 1-8
Author(s):  
Tieying Qiu ◽  
Jin Huang ◽  
Weixing Wang
Keyword(s):  
Linear Regression ◽  
Correlation Analysis ◽  
Self Efficacy ◽  
Influence Factors ◽  
Educational Background ◽  
Chinese Patients ◽  
Diabetes Knowledge ◽  
Spearman Correlation ◽  
Cross Sectional ◽  
Randomized Sampling

Objective. This study aimed to explore the association between DM knowledge and self-efficacy in Chinese patients with T2DM. The influence factors for DM knowledge were explored, and evidence on interventions was provided to patients for information. Design. A cross-sectional survey was conducted in various hospitals in Hunan Province, China, from April 2017 to February 2019, by using multistage stratified randomized sampling. DM knowledge and self-efficacy were measured using the Audit of Diabetes Knowledge (ADKnowl) and the General Self-efficacy (GSE) Scale. The relationship between the ADKnowl and the GSE scores was analyzed using the Spearman correlation analysis. Differences in the ADKnowl and GES scores among groups with different sociodemographic characteristics were computed; significant variables and GES scores were input in the multiple stepwise linear regression model to predict the influencing factors of ADKnowl scores. Results. A total of 1,512 eligible patients with T2DM were included in this study, and their mean ADKnowl score was 59.04 ± 16.24. The top score of the eight dimensions in the ADKnowl scale was reducing the complication risk by 71.01%. The mean GSE score was 2.42 ± 0.59. The Spearman correlation analysis showed that the GSE score displayed a significantly positive correlation with DM knowledge at the ADKnowl scale (r = 0.172, P<0.001). The best fit multivariable linear regression analysis revealed eight variables that explained 37.6% of the variance of ADKnowl scores. They were diabetes-learning experience, educational background, complication, therapy, waist-to-hip ratio, diabetes duration, marital status, and GSE (R2 = 0.376, F = 5.971, P=0.015). Conclusions. In Chinese patients with T2DM, the self-efficacy in managing DM positively influenced DM knowledge. DM knowledge, as a protective factor, conversely improved the efficiency of self-management for T2DM. Some ignored influence factors in previous studies can be showed by investigating and analyzing from two scales. Health educators and promoters should help in developing DM knowledge and self-efficacy.

scholarly journals Influence of the key account manager in the provisioning management: Evidence from staple companies during the events of COVID-19

Accounting ◽  
2022 ◽  
Vol 8 (2) ◽  
pp. 161-170 ◽  
Author(s):  
Luis-Ricardo Flores-Vilcapoma ◽  
Cynthia-Paola A lbengrin-Mendoza ◽  
Gabriela-Briggite Gomez-Rojas ◽  
Yuri Sánchez-Solis ◽  
Wagner Vicente-Ramos
Keyword(s):  
Experimental Design ◽  
Linear Regression ◽  
Correlation Analysis ◽  
Regression Model ◽  
Multiple Linear Regression ◽  
Linear Regression Model ◽  
Multiple Linear Regression Model ◽  
Cross Sectional ◽  
Key Account ◽  
The Impact

The purpose of this research was to evaluate the degree of influence exercised by the Key Account Manager in the provisioning management in the main companies called Staple in Peru, during the events of COVID-19. The research was of type quantitative, cross-sectional and temporal, with a non-experimental design, using a multiple linear regression model and correlation analysis to determine the impact that exists between the variables. The data belongs to the Industrias San Miguel company, distributed in a weekly period from June 2019 to March 2021, which gives 88 observations. The results allow us to conclude that the Key Account Manager is an important manager of the supply of goods during the crisis caused by COVID-19 in staple companies.

scholarly journals Pengaruh metode penilaian persediaan, nilai persediaan, dan gross profit margin terhadap market value perusahaan yang terdaftar di bei tahun 2007-2009

2017 ◽  
Vol 15 (2) ◽  
Author(s):  
Ngadiman Ngadiman ◽  
Florence Theresia
Keyword(s):  
Linear Regression ◽  
Correlation Analysis ◽  
Multiple Linear Regression ◽  
Significant Influence ◽  
Stock Exchange ◽  
Market Value ◽  
Profit Margin ◽  
Testing Method ◽  
Valuation Method ◽  
Inventory Method

The title of this research "The Correlation Analysis of Inventory Valuation Method Implementation, Inventory Value, and Gross Profit margin to Manufacture Companies Market Value Listed on Indonesia Stock Exchange'', which its objective is to provide the empirical evidences about the inventory valuation method implementation, inventory value, and gross profit margin to company's market value. The object of this research is the manufacture companies which are listed os Indonesia Stock Exchange on the period of 2007-2009. Research sample was selected by using the purposive sampling and obtained 45 sample companies which are consists of 8 companies which are implementing the average inventory method and 3 7 companies are implementing the FIFO inventory method. The hypothesis testing method used the multiple linear regression method.The result of this research shows that as collectively the inventory valuation method, inventory value, and gross profit margin significantly affected the market value. And as individually, the variable that significantly affects the market value is just inventory value while inventory valuation method and gross profit margin have no significant influence to the market value.

scholarly journals Correlation analysis of exports of manufactured products and basic products in the State of São Paulo

2018 ◽  
Vol 9 (5) ◽  
pp. 640
Author(s):  
Gabriel Nery da Silva
Keyword(s):  
Linear Regression ◽  
Correlation Analysis ◽  
National Economy ◽  
Strong Correlation ◽  
Sao Paulo ◽  
The State ◽  
São Paulo ◽  
Simple Linear Regression ◽  
Statistical Calculation ◽  
Manufactured Products

Participation in international trade has been important for national economy and keeps increasing over the years, and it may be noted by the importation and exportation activities. In this sense this study aims ­­to verify whether there is correlation between exports of manufactured and basic products in the State of São Paulo, as well as between them and time. Therefore it was used data available at Ministério da Indústria, Comércio Exterior e Serviços (MDIC) website relating to the amount in US$ of both manufactured products and basic products exported in the State of São Paulo from 2006 to 2016. The analysis was performed by using simple linear regression statistical calculation, aiming to verify whether there is correlation. Findings indicate there is strong correlation between the exports of basic products and time; there is no correlation between the exports of manufactured products and time; there is no correlation between the exports of basic products and the exports of manufactured products. Findings may help practitioners in forecasting demands as well as the understanding about exports behaviors when making-decisions.

scholarly journals SOIL SALINITY MAPPING USING MULTITEMPORAL LANDSAT DATA

2016 ◽  
Vol XLI-B7 ◽  
pp. 3-9 ◽  
Author(s):  
A. Azabdaftari ◽  
F. Sunar
Keyword(s):  
Remote Sensing ◽  
Linear Regression ◽  
Correlation Analysis ◽  
Soil Salinity ◽  
Vegetation Index ◽  
Landsat Images ◽  
Ground Truth Data ◽  
Remote Sensing Technology ◽  
Sensing Technology ◽  
Salinity Index

Soil salinity is one of the most important problems affecting many areas of the world. Saline soils present in agricultural areas reduce the annual yields of most crops. This research deals with the soil salinity mapping of Seyhan plate of Adana district in Turkey from the years 2009 to 2010, using remote sensing technology. In the analysis, multitemporal data acquired from LANDSAT 7-ETM&lt;sup&gt;+&lt;/sup&gt; satellite in four different dates (19 April 2009, 12 October 2009, 21 March 2010, 31 October 2010) are used. As a first step, preprocessing of Landsat images is applied. Several salinity indices such as NDSI (Normalized Difference Salinity Index), BI (Brightness Index) and SI (Salinity Index) are used besides some vegetation indices such as NDVI (Normalized Difference Vegetation Index), RVI (Ratio Vegetation Index), SAVI (Soil Adjusted Vegetation Index) and EVI (Enhamced Vegetation Index) for the soil salinity mapping of the study area. The field’s electrical conductivity (EC) measurements done in 2009 and 2010, are used as a ground truth data for the correlation analysis with the original band values and different index image bands values. In the correlation analysis, two regression models, the simple linear regression (SLR) and multiple linear regression (MLR) are considered. According to the highest correlation obtained, the 21st March, 2010 dataset is chosen for production of the soil salinity map in the area. Finally, the efficiency of the remote sensing technology in the soil salinity mapping is outlined.

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