A Study on Multiple Linear Regression Analysis

Uyanık, Gülden Kaya; Güler, Neşe

doi:10.1016/j.sbspro.2013.12.027

Cited by 750 publications

(365 citation statements)

References 1 publication

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“…Meanwhile, regression analysis is a statistical process in synthesizing associative relationships between a metric dependent variable and one or more independent variables (Kumar et al 2013;Malhotra 2007). Regression analysis is utilised to discover the correlations between two or more variables having causeeffect relations, and to formulate predictions by using the relation (Uyanık & Güler, 2013). The study applied regression analysis to examine adoption factors of HFSC can be predicted on business performance.…”

Section: Data Analysis Proceduresmentioning

confidence: 99%

The adoption of halal food supply chain towards the performance of food manufacturing in Malaysia

Azmi¹,

Abdullah²,

Bakri³

et al. 2018

10.5267/j.msl

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Halal industry in Malaysia provides a great opportunity for food manufacturers to expand their businesses, globally. However, the business has faced with some difficulties to improve performance due to complexity in halal supply chain. This paper studies the adoption of halal food supply chain (HFSC) factors on business performance among halal food manufacturers in Malaysia. Data were collected randomly from Halal Development Council (HDC) directory website. Using regression analysis, 103 responses were analyzed to determine the effects of adoption factors of HFSC on business performance. The results indicate that the context of technological, organizational and environmental can improve business performance of halal manufacturer. Perceived benefits in the context of technological gives the best predictor on business performance. In the context of organizational, readiness provides the best predictor of business performance. Meanwhile, halal market demand in the context of environmental gives the best predictor of business performance. The paper examines business performance in food industry; however other industries in halal are not focused. The results provide some insights into business performance among halal industry in Malaysia.

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Section: Data Analysis Proceduresmentioning

confidence: 99%

The adoption of halal food supply chain towards the performance of food manufacturing in Malaysia

Azmi¹,

Abdullah²,

Bakri³

et al. 2018

10.5267/j.msl

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“…Stepwise MLR is a commonly used regression method that is proposed to evaluate only a small number of subsets by either adding or deleting one variable at a time according to a given condition. The remaining variables in the model are assigned based on the levels of significance assumed for the inclusion and exclusion of the variables from the model …”

Section: Resultsmentioning

confidence: 99%

“…The remaining variables in the model are assigned based on the levels of significance assumed for the inclusion and exclusion of the variables from the model. 50 A stepwise MLR method was employed to extract the most correlated descriptors with the retention time, and the Eq. The selected descriptors and their correlation matrices are shown in Tables 2 and 3, respectively.…”

Section: Results and Discussion Modeling Methods Based On Structural mentioning

confidence: 99%

A Comparative QSRR Study on Enantioseparation of Ethanol Ester Enantiomers in HPLC Using Multivariate Image Analysis, Quantum Mechanical and Structural Descriptors

Barfeii

Garkani-Nejad

2016

J Chinese Chemical Soc

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Quantitative structure–retention relationship study was carried out for predicting the retention times of twenty‐six 1‐(2‐naphtyl)‐1 ethanol ester enantiomers in high‐pressure liquid chromatography by using original molecular, quantum mechanical, and multivariate image analysis (MIA) descriptors. Multiple linear regressions, partial least squares (PLS), and partial component regression (PCR) models combined with genetic algorithm (GA) were constructed as variable selection methods by using molecular descriptors to investigate the potential relationship between the selected descriptors and the retention times of the enantiomers. The molecular descriptors were generated from the molecular structure of enantiomers and calculated by the DRAGON software. Besides 504 DRAGON descriptors, additional 38 quantum mechanical descriptors were obtained using density functional theory/B3LYP/6‐31G method. Then, the results of the obtained models were compared with MIA descriptors that are pixels of two‐dimensional (2D) chemical structures. MIA descriptors were analyzed by correlation ranking‐PCR and PLS methods. The predictive ability of the models was evaluated using cross‐validation and an external test set. The results showed that GA is a good method for variable selection using structural descriptors combined with the PLS model. Since MIA descriptors are 2D pixels of the chemical structures, they can differentiate between the (R) and (S) isomers of enantiomers better than the quantum mechanical and structural descriptors. Comparison between the different models indicated that the GA‐PLS and MIA‐PLS models were the best methods.

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“…Changes in the germination rate were explained and predicted through a multiple linear regression analysis involving the rest of the studied parameters. The multivariate regression analysis model is developed following the equation: y = β0+β1x1+…+βnxn+ε [31] where y the dependent variable, xi the independent variable, βi the parameter and ε the error. Statistical analyses were performed using version 3.3.2 of R software [32].…”

Section: Discussionmentioning

confidence: 99%

Effects of wastewater quality on Henna (Lawsonia inermis L.) germination and seedling growth: a case study, Tunisia

Marzougui¹,

Sabbahi²,

Guasmi³

et al. 2018

IJEAB

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A Study on Multiple Linear Regression Analysis

Cited by 750 publications

References 1 publication

The adoption of halal food supply chain towards the performance of food manufacturing in Malaysia

The adoption of halal food supply chain towards the performance of food manufacturing in Malaysia

A Comparative QSRR Study on Enantioseparation of Ethanol Ester Enantiomers in HPLC Using Multivariate Image Analysis, Quantum Mechanical and Structural Descriptors

Effects of wastewater quality on Henna (Lawsonia inermis L.) germination and seedling growth: a case study, Tunisia

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