scholarly journals Retraction Note: Partial correlation analysis using multiple linear regression: Impact on business environment of digital marketing interest in the era of industrial revolution 4.0

2020 ◽  
pp. 2-2
Author(s):  
Muhamad Syazali ◽  
Fredi Ganda Putra ◽  
Achi Rinaldi ◽  
Lintang Fitra Utami ◽  
Widayanti Widayanti ◽  
...  
Keyword(s):  
Linear Regression ◽  
Correlation Analysis ◽  
Multiple Linear Regression ◽  
Partial Correlation ◽  
Industrial Revolution ◽  
Business Environment ◽  
Digital Marketing ◽  
Partial Correlation Analysis

scholarly journals Partial correlation analysis using multiple linear regression: Impact on business environment of digital marketing interest in the era of industrial revolution 4.0

2019 ◽  
pp. 1875-1886 ◽  
Author(s):  
Muhamad Syazali ◽  
Fredi Ganda Putra ◽  
Achi Rinaldi ◽  
Lintang Fitra Utami ◽  
Widayanti, Rofiqul Umam ◽  
...  
Keyword(s):  
Linear Regression ◽  
Correlation Analysis ◽  
Multiple Linear Regression ◽  
Partial Correlation ◽  
Industrial Revolution ◽  
Business Environment ◽  
Digital Marketing ◽  
Partial Correlation Analysis

scholarly journals Anterior scleral thickness in myopic eyes and its association with ocular parameters

2020 ◽  
Author(s):  
Mi Sun Sung ◽  
Yong Sok Ji ◽  
Hyun Sik Moon ◽  
Hwan Heo ◽  
Sang Woo Park
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Correlation Analysis ◽  
Axial Length ◽  
Partial Correlation ◽  
Linear Regression Analysis ◽  
Partial Correlation Analysis ◽  
Bruch’S Membrane ◽  
Axial Elongation ◽  
Age And Sex

Purpose: This study was designed to determine whether the anterior scleral thickness is affected by axial elongation and to investigate the association between anterior scleral thickness and various ocular parameters in myopic eyes. Methods: This cross-sectional study included 79 healthy myopic participants. Anterior scleral thickness was measured in eight meridians (superior-nasal [SN], superior [S], superior-temporal [ST], temporal [T], inferior-temporal [IT], inferior [I], inferior-nasal [IN], and nasal [N]) using anterior segment optical coherence tomography. Bruch’s membrane opening (BMO) area, width of β-parapapillary atrophy with and without Bruch’s membrane (PPA+BM and PPA-BM), and the global peripapillary and subfoveal choroidal thickness (CT) were additionally measured. Age- and sex-adjusted partial correlation analysis and linear regression analysis were performed to examine the effects of axial length and various ocular parameters on anterior scleral thickness in myopic eyes. Results: The mean age of the included participants was 27.03 ± 2.70 years. Overall, the anterior scleral thickness varied topographically according to the meridians and distance from the scleral spur. In the partial correlation analysis controlled for the effect of age and sex, increasing axial length was related to anterior scleral thinning at several measurement points along the T, I, and N meridians. Among the several ocular parameters, multivariate linear regression analysis with age, sex, and axial length as covariates revealed that central corneal thickness, intraocular pressure, and BMO area were significantly associated with anterior scleral thickness. Conclusion: In conclusion, there was a close relationship between the anterior scleral thickness and several ocular parameters in myopic eyes. These features should be taken into consideration when managing myopia, and our results might have important implications for understanding the pathogenesis of scleral changes during axial elongation.

Multiple Linear Regression and Correlation Analysis between Ball Speed and Balance of High School Pitchers

2019 ◽  
Vol 28 (5) ◽  
pp. 1095-1100
Author(s):  
Chi-Bok Park ◽  
Byeong-Geun Kim ◽  
Tae-Yeon Hwang
Keyword(s):  
High School ◽  
Linear Regression ◽  
Correlation Analysis ◽  
Multiple Linear Regression ◽  
Ball Speed

scholarly journals Correlating Capsaicinoid Levels and Physicochemical Proper-ties of Kimchi and Its Perceived Spiciness

Foods ◽  
2021 ◽  
Vol 10 (1) ◽  
pp. 86
Author(s):  
So-Ra Yoon ◽  
Yun-Mi Dang ◽  
Su-Yeon Kim ◽  
Su-Yeon You ◽  
Mina K. Kim ◽  
...  
Keyword(s):  
Correlation Analysis ◽  
Physicochemical Properties ◽  
Correlation Coefficient ◽  
Partial Correlation ◽  
Sugar Content ◽  
Amino Acid Content ◽  
Titratable Acidity ◽  
Free Sugar ◽  
Partial Correlation Analysis ◽  
The Relationship

Capsaicinoid content, among other factors, affects the perception of spiciness of commercial kimchi. Here, we investigated whether the physicochemical properties of kimchi affect the spicy taste of capsaicinoids perceived by the tasting. High-performance liquid chromatography (HPLC) was used to evaluate the capsaicinoid content (mg/kg) of thirteen types of commercial kimchi. The physicochemical properties such as pH, titratable acidity, salinity, free sugar content, and free amino acid content were evaluated, and the spicy strength grade was determined by selected panel to analyze the correlation between these properties. Panels were trained for 48 h prior to actual evaluation by panel leaders trained for over 1000 h according to the SpectrumTM method. Partial correlation analysis was performed to examine other candidate parameters that interfere with the sensory evaluation of spiciness and capsaicinoid content. To express the specific variance after eliminating the effects of other variables, partial correlations were used to estimate the relationships between two variables. We observed a strong correlation between spiciness intensity ratings and capsaicinoid content, with a Pearson’s correlation coefficient of 0.78 at p ≤ 0.001. However, other specific variables may have influenced the relationship between spiciness intensity and total capsaicinoid content. Partial correlation analysis indicated that the free sugar content most strongly affected the relationship between spiciness intensity and capsaicinoid content, showing the largest first-order partial correlation coefficient (rxy/z: 0.091, p ≤ 0.01).

scholarly journals PENGARUH TINGKAT PENDIDIKAN, MOTIVASI, DAN KOMPENSASI TERHADAP KINERJA PEGAWAI DI BRI CABANG SEMARANG AHMAD YANI

2019 ◽  
Vol 11 (02) ◽  
pp. 31-47
Author(s):  
Sopi Sopi ◽  
Zumrotun Nafi'ah
Keyword(s):  
Linear Regression ◽  
Multiple Linear Regression ◽  
Industrial Revolution ◽  
Employee Performance ◽  
Science And Technology ◽  
Regression Equations ◽  
Linear Regression Equation ◽  
Improve Performance ◽  
Independent Variables ◽  
Life Education

Education, motivation and compensation are important things that can improve performance. This study aims to explain whether there is an influence of education, motivation and compensation on employee performance. So that through the results of this study it is expected to be a reference for leaders in managing the organization. In this study there are three independent variables namely education, motivation and compensation and one dependent variable is employee performance. At present it is in the era of industrial revolution 4.0, which is marked by; big data / giant data, internet of think, labor knowledge, and long life education. Since the beginning of the life of mankind to an infinite period, it is largely determined by the mastery of science and technology. Science and technology can not be separated from the progress of education level. Education is the base of all changes both individually, as well as countries. Employee performance is determined by the education that is owned, as high as education, the higher the performance and vice versa. The population in this study are BRI CAB employees, SEMARANG A-YANI, 60 people and all of them are sampled. The results of the analysis using SPSS 23 program statistical tools obtained multiple linear regression equation Y = 0.505 X1 + 0.175 X2 + 0.408 X3 The results of multiple linear regression equations show that there is a positive and significant influence between education on employee performance at BRI CAB. A YANI SEMARANG (t count test 6.314> t table 0.05), motivation towards employee performance at BRI CAB. A YANI SEMARANG (tcount 2,160> t table 0,05), and compensation for employee performance at BRI CAB. A YANI SEMARANG (t test 5.108> ttable 0.05). While together (simultaneously) the influence of education, motivation and compensation has an effect on and significant on the performance of employees at BRI CAB. A YANI SEMARANG (count = 44,692> ftabel = 0.05). The influence of the two research variables is very strong with a correlation value of 69.0% for employee performance at BRI CAB. A YANI SEMARANG is influenced by the motivation and compensation education of the remaining 31.0% of the employees' performance at BRI CAB. A YANI SEMARANG is influenced by other variables that affect employee performance.

scholarly journals Temperature Extreme May Exaggerate the Mortality Risk of COVID-19 in the Low- and Middle-income Countries: A Global Analysis

2020 ◽  
Author(s):  
Mizanur Rahman ◽  
Mahmuda Islam ◽  
Mehedi Hasan Shimanto ◽  
Jannatul Ferdous ◽  
Abdullah Al-Nur Shanto Rahman ◽  
...  
Keyword(s):  
Correlation Analysis ◽  
Partial Correlation ◽  
Global Analysis ◽  
Temperature Extreme ◽  
Spread Rate ◽  
Partial Correlation Analysis ◽  
Mixed Effect ◽  
Middle Income ◽  
Middle Income Countries ◽  
Low And Middle Income

We performed a global analysis with data from 149 countries to test whether temperature can explain the spatial variability of the spread rate and mortality of COVID-19 at the global scale. We performed partial correlation analysis and linear mixed effect modelling to evaluate the association of the spread rate and motility of COVID-19 with maximum, minimum, average temperatures and temperature extreme (difference between maximum and minimum temperature) and other environmental and socioeconomic parameters. After controlling the effect of the duration after the first positive case, partial correlation analysis revealed that temperature was not related with the spatial variability of the spread rate of COVID-19. Mortality was negatively related with temperature in the countries with high-income economies. In contrast, temperature extreme was significantly and positively correlated with mortality in the low-and middle-income countries. Taking the country heterogeneity into account, mixed effect modelling revealed that inclusion of temperature as a fixed effect in the model significantly improved model skill predicting mortality in the low-and middle-income countries. Our analysis suggest that warm climate may reduce the mortality rate in high-income economies but in low and middle-income countries temperature extreme may increase the mortality risk.

Use of element-mineral correlations to investigate fractionation of rare earth elements in fine-grained sediments

1994 ◽  
Vol 58 (393) ◽  
pp. 533-541 ◽  
Author(s):  
J. T. Temple ◽  
J. N. Walsh
Keyword(s):  
Rare Earth ◽  
Correlation Analysis ◽  
Rare Earth Elements ◽  
Partial Correlation ◽  
Correlation Coefficients ◽  
Partial Correlation Analysis ◽  
Middle Ordovician ◽  
Fine Grained ◽  
South Wales

AbstractRelative concentrations of elements in the minerals of fine-grained sediments can be inferred from element-mineral correlation coefficients. The technique is applied to the distribution of REE in Middle Ordovician shales from South Wales analysed by ICPAES, Leco C/S125 and XRD. Phosphate and chlorite show mid-REE enrichment; muscovite + biotite shows mid-REE depletion. The complementarity of the chlorite and muscovite + biotite patterns may be due to fractionation during diagenetic recrystallisation. Partial correlation analysis is used to infer the presence of zircon.

Detection of Model Parameter Mismatch Using Simplified Partial Correlation Analysis for Closed-Loop System

2014 ◽  
Vol 625 ◽  
pp. 398-401
Author(s):  
Nur Hidayah Kamal Iqbal ◽  
Nooryusmiza Yusoff ◽  
Lemma Dendena Tufa
Keyword(s):  
Correlation Analysis ◽  
Partial Correlation ◽  
Closed Loop ◽  
Loop System ◽  
Model Structure ◽  
Closed Loop System ◽  
Partial Correlation Analysis ◽  
Parameter Mismatch ◽  
Arx Model ◽  
Model Parameter

Partial correlation analysis is used in detecting the model-plant mismatch as it will give accurate location of mismatched submodel. In this work of model parameter mismatch detection in closed-loop system, a simplified method of partial correlation analysis is proposed. In this method, the identification step for input sensitivities relating setpoints and manipulated variables,Sru, is omitted due the ability of ARX model structure to capture the dynamic of the input-output data even though in the presence of unmeasured disturbance in closed-loop system. The ARX model structure is implemented in decorrelating the observed data from the correlated inputs. By using the ARX model, the mismatch is detected at the precise location compared to the detection using FIR decorrelation model.

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.

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