A Combinatorial Approach to the Variable Selection in Multiple Linear Regression: Analysis of Selwoodet al. Data Set - A Case Study

2003 ◽  
Vol 22 (6) ◽  
pp. 583-595 ◽  
Author(s):  
Yenamandra?S. Prabhakar
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Variable Selection ◽  
Multiple Linear Regression ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Combinatorial Approach ◽  
Data Set

Wavelet and multiple linear regression analysis for identifying factors affecting particulate matter PM2.5 in Mumbai City, India

2019 ◽  
Vol 36 (10) ◽  
pp. 1750-1783 ◽  
Author(s):  
Vivekanand Venkataraman ◽  
Syed Usmanulla ◽  
Appaiah Sonnappa ◽  
Pratiksha Sadashiv ◽  
Suhaib Soofi Mohammed ◽  
...  
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Control Measures ◽  
Data Set ◽  
Content Type ◽  
Factors Affecting ◽  
Significant Factors

Purpose The purpose of this paper is to identify significant factors of environmental variables and pollutants that have an effect on PM2.5 through wavelet and regression analysis. Design/methodology/approach In order to provide stable data set for regression analysis, multiresolution analysis using wavelets is conducted. For the sampled data, multicollinearity among the independent variables is removed by using principal component analysis and multiple linear regression analysis is conducted using PM2.5 as a dependent variable. Findings It is found that few pollutants such as NO2, NOx, SO2, benzene and environmental factors such as ambient temperature, solar radiation and wind direction affect PM2.5. The regression model developed has high R2 value of 91.9 percent, and the residues are stationary and not correlated indicating a sound model. Research limitations/implications The research provides a framework for extracting stationary data and other important features such as change points in mean and variance, using the sample data for regression analysis. The work needs to be extended across all areas in India and for various other stationary data sets there can be different factors affecting PM2.5. Practical implications Control measures such as control charts can be implemented for significant factors. Social implications Rules and regulations can be made more stringent on the factors. Originality/value The originality of this paper lies in the integration of wavelets with regression analysis for air pollution data.

scholarly journals The Effect of Perceived Value and Personal Selling on Participants 'Decision on Employment BPJS Bengkulu Branch (Case Study on Wage Non-Recipient Category Customers)

2019 ◽  
Vol 3 (12) ◽  
pp. 43-48
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Linear Regression Analysis ◽  
Personal Selling ◽  
Perceived Value ◽  
Multiple Linear Regression Analysis ◽  
Analysis Technique

The purpose of this study was to determine the effect of perceived value and personal selling on participants' decisions on BPJS Employment in the category of Non Wage Recipients (NRP). The population in this study were all BPJS Employment participants in the Non Wage category during 2018. The sample in this study was 100 respondents. The analysis technique in this study used multiple linear regression analysis. The results of this study indicate that the variables perceived value and personal selling jointly influence the decisions of the BPJS Employment participants. Perceived value has a positive and significant effect on participants' decisions and personal selling has a positive and significant effect on the decisions of BPJS Employment participants.

scholarly journals The effect of quality service and price upon the customers satisfaction (case study at TIKI branch at Jl. K. H. Sholeh Iskandar Bogor)

2019 ◽  
Vol 4 (01) ◽  
pp. 1
Author(s):  
Adri Wihananto
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Quality Service ◽  
Analytical Technique

This research aims to study the effect of quality service and price either simulatenously or partially upon the customers satisfaction at PT TIKI Branch at Jl. K. H. Sholeh Iskandar Bogor. Analytical technique of this research has applied multiple linear regression analysis to figure out to which extent the quality service and price either simultaneously or partially has affected the customers satisfaction. The result has indicated that quality service and price simultaneously have affected significantly the customers satisfaction. This result has depicted that the value of F-count is 71.270 , however Ftable df: α, (k-1), (n-k) = 0.05, (2-1), (146-3) is 4.60 due to F-count > Ftable (71.270 > 4.60) and its sig.value of 0.000 < 5% (0.05). Keywords: Quality Service, Price, Customers Satisfaction

DATA ENVELOPMENT ANALYSIS WITH MISSING DATA: A MULTIPLE LINEAR REGRESSION ANALYSIS APPROACH

2014 ◽  
Vol 13 (01) ◽  
pp. 137-153 ◽  
Author(s):  
YA CHEN ◽  
YONGJUN LI ◽  
HUAQING WU ◽  
LIANG LIANG
Keyword(s):  
Regression Analysis ◽  
Data Envelopment Analysis ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Missing Values ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Data Envelopment ◽  
Random Errors ◽  
Data Set

Data envelopment analysis (DEA) assumes that the data set is precise when performing efficiency evaluation of peer decision making units (DMUs). The current paper proposes a multiple linear regression analysis (MLRA) approach to estimate missing values if some of the entries in the data set are missing. Its algorithm to derive the estimations is also proposed. In order to verify the credibility of the proposed approach, an example of 30 US commercial banks is applied to case analysis. Using the proposed algorithm, the efficiencies of all DMUs are obtained. A Friedman test and a Kendall's Tau rank correlation analysis statistically examine the results. Moreover, the efficiency interval and efficiency distribution for a DMU are obtained considering random errors of the estimations. After that, an example of public secondary schools serves to illustrate the applications in the end.

scholarly journals The effect of price, comfort, and trust upon the decision to buy at the online shop (Case study on the students at Economic College of Binaniaga)

2020 ◽  
Vol 5 (01) ◽  
pp. 1
Author(s):  
Adri Wihananto
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis

This research aims to find out the effects of the price, comfort, and trust simultaneously upon the decision to buy online, (Case study on the students of STIE Bina Niaga Bogor). Techniques of Analysis has applied multiple linear regression analysis to show the extent of which the price, comfort and trust either partially or simultaneously have affected the decision to buy online. Simultaneous result indicated that the effects of the price, comfort, trust either partially and simultaneously had affected the decision to buy online. This result is indicated by the value of Fcount of 40.938. However, Ftable df: α, (k-1), (n-k) = 0.05, (2-1), (151-3) is 4.60. Therefore the calculation of Fcount > Ftable (40.938 > 4,60) at sig. value of 0.000 < 5% (0.05). Keywords: Price, Confort, Trust, Decision to Buy Online.

scholarly journals The effect of quality service and price upon the customers satisfaction (case study at TIKI branch at Jl. K. H. Sholeh Iskandar Bogor)

2019 ◽  
Vol 4 (1) ◽  
pp. 1
Author(s):  
Adri Wihananto
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Quality Service ◽  
Analytical Technique

This research aims to study the effect of quality service and price either simulatenously or partially upon the customers satisfaction at PT TIKI Branch at Jl. K. H. Sholeh Iskandar Bogor. Analytical technique of this research has applied multiple linear regression analysis to figure out to which extent the quality service and price either simultaneously or partially has affected the customers satisfaction. The result has indicated that quality service and price simultaneously have affected significantly the customers satisfaction. This result has depicted that the value of F-count is 71.270 , however Ftable df: α, (k-1), (n-k) = 0.05, (2-1), (146-3) is 4.60 due to F-count > Ftable (71.270 > 4.60) and its sig.value of 0.000 < 5% (0.05). Keywords: Quality Service, Price, Customers Satisfaction

ANALISIS PENGARUH INFLASI, KURS DAN IHSG TERHADAP RETURN REKSA DANA SAHAM PT NIKKO SECURITIES INDONESIA PERIODE 2014-2017

2019 ◽  
Vol 2 (2) ◽  
pp. 103
Author(s):  
Muhammad Rois Rois ◽  
Manarotul Fatati Fatati ◽  
Winda Ihda Magfiroh
Keyword(s):  
Regression Analysis ◽  
Exchange Rate ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Stock Price ◽  
Price Index ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Equity Fund ◽  
Stock Price Index

This study aims to determine the effect of Inflation, Exchange Rate and Composite Stock Price Index (IHSG) to Return of PT Nikko Securities Indonesia Stock Fund period 2014-2017. The study used secondary data obtained through documentation in the form of PT Nikko Securities Indonesia Monthly Net Asset (NAB) report. Data analysis is used with quantitative analysis, multiple linear regression analysis using eviews 9. Population and sample in this research are PT Nikko Securities Indonesia. The result of multiple linear regression analysis was the coefficient of determination (R2) showed the result of 0.123819 or 12%. This means that the Inflation, Exchange Rate and Composite Stock Price Index (IHSG) variables can influence the return of PT Nikko Securities Indonesia's equity fund of 12% and 88% is influenced by other variables. Based on the result of the research, the variables of inflation and exchange rate have a negative and significant effect toward the return of PT Nikko Securities Indonesia's equity fund. While the variable of Composite Stock Price Index (IHSG) has a negative but not significant effect toward Return of Equity Fund of PT Nikko Securities Indonesia

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