Multivariate Analysis: Using Multiple Linear Regression to Look At the Relationship Between Several Predictors and One Dependent Variable

2012 ◽  
pp. 159-184
Keyword(s):  
Multivariate Analysis ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
The Relationship

PENGARUH HARGA DAN BRAND TRUST TERHADAP KEPUTUSAN PEMBELIAN OPPO SMARTPHONE (Studi kasus pada OPPO Store, Sinergy Celular Medan)

2019 ◽  
Vol 14 (1) ◽  
pp. 17
Author(s):  
Andi S Tarigan ◽  
Zulkarnaian Siregar
Keyword(s):  
Data Analysis ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Coefficient Of Determination ◽  
Purchase Decision ◽  
Brand Trust ◽  
Significance Level ◽  
Research Hypothesis ◽  
Analysis Technique ◽  
The Relationship

AbstrakPenelitian ini bertujuan untuk mengetahui Pengaruh Harga dan Brand Trust Terhadap Keputusan Pembelian pada Sinergy Celular Medan.Sampel dalam penelitian ini adalah seluruh pengunjung Sinergy Celular Medan sebanyak 77 orang.Teknik pengumpulan data yang digunakan adalah melalui kuesioner (angket) yaitu dengan cara menyebarkan kuesioner kepada sampel (responden) dan mengumpulkannya kembali. Teknik analisis data yang digunakan adalah Regresi Linear Berganda.Sebelum data diregresikan maka terlebih dahulu di uji keterkaitannya antara variabel, datanya diuji menggunakan uji normalitas data, multikolinearitas, dan heterokedastisitas.Serta untuk mengetahui kontribusi faktor Harga dan Brand TrustTerhadap Keputusan Pembelian digunakan rumus Koefisien Determinasi (R2). Hipotesis penelitian diterima apabila t hitung >  t tabel dengan tingkat signifikansi 0,1. Nilai t tabel dalam penelitian ini 1,993. Nilai t hitung variabel X1 sebesar 2,107 t hitung lebih besar dari t tabel maka hipotesis di terima, nilai t hitung variabel X2   sebesar 3,405 t hitung lebih besar dari t tabel maka hipotesis di terima. Kata kunci: Harga, Brand Trust, Keputusan Pembelian AbstractThis study aims to determine the Influence of Price and Brand Trust on Purchasing Decision at Sinergy Celular Medan. The sample in this study is all visitors Sinergy Celular Medan as many as 77 people.Data collection technique used is through questionnaire (questionnaire) that is by distributing questionnaires to the sample (respondent) and collect it back. Data analysis technique used is Multiple Linear Regression. Before the data is diregresikan then first in the test the relationship between variables, the data tested using the test of data normality, multicollinearity, and heterokedastisitas. And to know the contribution of price factors and Brand Trust Against Purchase Decision is used the formula Coefficient of Determination (R2). Research hypothesis accepted if t arithmetic> t table with significance level 0,1. The value of t table in this study is 1,993. Value t arithmetic variable X1 of 2.107 t arithmetic greater than t table then the hypothesis received, the value of t arithmetic variable X2 of 3.405 t arithmetic greater than t table then the hypothesis received. Keywords: Price, Brand Trust, Purchase Decision

scholarly journals Study on process of chemical fiber filament automatic doffing system based on simulation platform and machine learning

2021 ◽  
Vol 16 ◽  
pp. 155892502110548
Author(s):  
Hongxin Zhu ◽  
Kun Zou ◽  
Wenlan Bao
Keyword(s):  
Neural Network ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Production Line ◽  
Simulation Platform ◽  
Chemical Fiber ◽  
Production Lines ◽  
The Neural Network ◽  
Spss Software ◽  
The Relationship

In recent years, a large number of automatic equipment has been introduced into the chemical fiber filament doffing production line, but the related research on the fully automatic production line technology is not yet mature. At present, it is difficult to collect data due to test costs and confidentiality. This paper proposes to develop a simulation platform for a chemical fiber filament doffing production line, which enables us to effectively obtain data and quantitatively study the relationship between the number of manual interventions and other process parameters of the production line. Considering that the parameter research is a multi-factor problem, an orthogonal test was designed by using SPSS software and was carried out by using a simulation platform. The multiple linear regression (MLR) and the neural network optimized by genetic algorithm were adopted to fit the relationship between the number of manual interventions and other parameters of the production line. The SPSS software was applied to obtain the standardized coefficients of the multiple linear regression fitting and the neural network mean impact value (MIV) algorithm was applied to obtain the magnitude and direction of the impact of different parameters on the number of manual interventions. The above results provide important reference for the design of similar new production lines and for the improvement of old production lines.

scholarly journals THE EFFECT OF RELATIONSHIP MARKETING ON THE LOYALTY OF SUPPLIER OF TOBACCO WITH MANUAL DRYING IN PT. EXPORT LEAF INDONESIA

2016 ◽  
Vol 5 (2) ◽  
Author(s):  
Saparwadi Saparwadi
Keyword(s):  
Linear Regression ◽  
Multiple Linear Regression ◽  
Relationship Marketing ◽  
Economic Benefit ◽  
Significance Test ◽  
Three Dimensions ◽  
Reliability Test ◽  
Dominant Effect ◽  
Complaint Handling ◽  
The Relationship

This  research  is  aimed at  analyzing  the  effect  of  relationship  marketing  on  the commitment of company, communication of company and the complaint handling of PT. ELI on the loyalty of supplier of tobacco with manual drying in East Lombok. The  data  were  collected  through  questionnaire  and  verified  with validation  and reliability test. The data then were analyzed using classic assumption, multiple linear regression, significance test, and certain use of parameter to proof the hypothesis. The research showed that there is partially and simultaneously significant effect of relationship     marketing     consisting     of     company     commitment,     company communication,  and complaint  handling of  PT  ELI on the  loyalty of  supplier of tobacco with manual drying in east Lombok. Of the relationship marketing of PT ELI that  has  a  dominant effect  of  the  loyalty  of  supplier  in  East  Lombok  is  the commitment of company. The level of effect of commitment of company is 24.10 percent (the value of r2X1Y) on the loyalty of supplier. The simultaneous effect of the three dimensions of relationship marketing is 50.40 percents (R2   =0.504) on the loyalty of supplier, categorized as the high criteria. One of the suggestions for the management of PT ELI is to improve partnership with the supplier, with the concept that may be applied as well as possible in order that the partnership can give sustainable and high economic benefit for the farmers. Keywords:  relationship, marketing  (Company, commitment, communication,  and complain handling) and loyalty of Supplier

scholarly journals Aplikasi Analisis Multivariat Berdasarkan Warna untuk Memprediksi Brix dan pH pada Pisang

2017 ◽  
Vol 37 (1) ◽  
pp. 109 ◽  
Author(s):  
Yohanita Maulina Akbar ◽  
Dr. Rudiati Evi Masithoh ◽  
Nafis Khuriyati
Keyword(s):  
Multivariate Analysis ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Conventional Method ◽  
Calibration Model ◽  
Validation Data ◽  
Determination Coefficient ◽  
Mlr Model

In this research, Multiple Linear Regression (MLR) model was used to predict Brix and pH of banana based on RGB and Lab color values. Banana samples varied in color and ripening level from less ripen to ripen. RGB and Lab values were measured non-destructively using colormeter, while Brix and pH were determined using conventional method in laboratory. Multivariate analysis was done using the Unscrambler ® X 10.3 (CAMO, AS, OLSO, Norway, and trial version). Results showed that calibration model using MLR was able to predict Brix and pH of banana based on RGB and Lab color values. Furthermore, validation data were used to test the selected models. MLR model to predict Brix based on RGB and Lab validation resulted in 0.8 and 0.84 of determination coefficient between observation and prediction data. The model was also able to predict pH based on RGB and Lab values with 0.71 and 0.79 of determination coefficient between observation and prediction data. ABSTRAKPada penelitian ini, model Multiple Linear Regression (MLR) digunakan untuk memprediksi Brix dan pH pada buah pisang berdasarkan nilai warna Red Green Blue (RGB) dan Lab. Pisang yang dianalisis mempunyai variasi warna dari kurang masak sampai masak. Parameter warna RGB dan Lab dilakukan secara non-destruktif dengan menggunakan colormeter, sedangkan pengukuran kualitas internal yaitu Brix dan pH ditentukan secara destruktif atau dengan prosedur konvensional di laboratorium. Aplikasi analisis multivariat yang digunakan adalah Unscrambler ® X 10.3 (CAMO, AS, OLSO, Norway, versi trial). Analisis data menunjukkan bahwa model kalibrasi MLR dapat digunakan untuk memprediksi Brix dan pH berdasarkan parameter warna RGB dan Lab pada buah pisang. Selanjutnya, data validasi digunakan untuk menguji model MLR terpilih. Model kalibrasi MLR dapat memprediksi Brix berdasarkan nilai RGB dan Lab dengan nilai koefisien determinasi (R2) sebesar 0,8 dan 0,84, secara berurutan. Sedangkan koefisien determinasi (R2) untuk pH berdasarkan warna RGB dan Lab adalah 0,71 dan 0,79.

scholarly journals KNOWLEDGE AS THE INTERVENING VARIABLE ON RELIGIOSITY VALUE OF ACCOUNTANT STUDENTS' SAVING INTEREST FOR ISLAMIC BANKING

2021 ◽  
Vol 1 (2) ◽  
pp. 63-68
Author(s):  
Wahyuning Murniati ◽  
Evita Purnaningrum
Keyword(s):  
Linear Regression ◽  
Path Analysis ◽  
Hypothesis Testing ◽  
Multiple Linear Regression ◽  
Positive Relationship ◽  
Islamic Banking ◽  
Economic Activities ◽  
Analytical Technique ◽  
The Relationship

The development of Islamic economics in banking practices in society develops innovatively. Various sharia banking products have become the people's choice in supporting their daily economic activities. The same thing also happened to students. The purpose of study is to analyze the religiosity effect of students' interest in saving for Islamic banking with knowledge as intervening variable. Multiple linear regression is an analytical technique used here, with hypothesis testing and path analysis to support its conclusions. The result of this study is that the level of religiosity significantly effects on students' interest in saving for Islamic banking with positive relationship. Likewise, knowledge is able mediate the relationship between the religiosity variable and students' interest in saving.

scholarly journals PENGARUH KOMPETENSI DAN DISIPLIN KERJA TERHADAP KEPUASAN PELANGGAN DI KANTOR PELAYANAN KEKAYAAN NEGARA DAN LELANG (KPKNL) PALU

2020 ◽  
Vol 4 (2) ◽  
pp. 103-112
Author(s):  
Sri Dwi Ratih Wijayanti ◽  
Lina Mahardiana ◽  
Risnawati Risnawati
Keyword(s):  
Data Analysis ◽  
Linear Regression ◽  
Customer Satisfaction ◽  
Multiple Linear Regression ◽  
Quantitative Research ◽  
Test Results ◽  
Significance Level ◽  
Analysis Techniques ◽  
Regression Test ◽  
The Relationship

This study aims to: know and analyze whether the Competence and Discipline Work simultaneously and partially effect on Customer Satisfaction in the Office of State Assets and Auction (KPKNL) Palu. This study uses quantitative research which is a study that aims to explain the relationship between two or more variables with a sample of 49 customers and data analysis techniques used are multiple linear regression. The results of hypothesis analysis and testing can be concluded that: (1) based on regression test results obtained sig. F of 0.00 <0.05, which can be interpreted that the variable Competence and Work Discipline affect simultaneously to Customer Satisfaction. (2) based on regression test results obtained Competence variables have significance level t sig. 0.010 <α 0.05, which can be interpreted that the variable Competence partially significant effect on customer satisfaction. (3) based on the regression test results obtained variable Work Discipline has significance level t sig. 0,000 <α 0.05, which can be interpreted that the variable Work Discipline partially significant effect on Customer Satisfaction. Penelitian ini bertujuan untuk: mengetahui dan menganalisis apakah Kompetensidan Disiplin Kerjaberpengaruh secara serempak dan parsial terhadap Kepuasan Pelanggan di Kantor Pelayanan Kekayaan Negara dan Lelang (KPKNL) Palu. Penelitian ini menggunakan penelitian kuantitatif yang merupakan penelitian yang bertujuan untuk menjelaskan hubungan antara dua variabel atau lebih dengan sampel 49 pelanggan dan teknik analisis data yang digunakan adalah regresi linear berganda.Hasil analisis dan pengujian hipotesis dapat disimpulkan bahwa: (1) berdasarkan hasil uji regresi diperoleh sig. F sebesar 0,00 < 0,05, yang dapat diartikan bahwa variabel Kompetensidan Disiplin Kerjaberpengaruh secara serempak terhadap Kepuasan Pelanggan. (2) berdasarkan hasil uji regresi diperoleh variabel Kompetensimemiliki tingkat signifikasi t sig. 0,010 < α 0,05, yang dapat diartikan bahwa variabel Kompetensisecara parsial berpengaruh signifikan terhadap kepuasan pelanggan. (3) berdasarkan hasil uji regresi diperoleh variabel Disiplin Kerja memiliki tingkat signifikasi t sig. 0,000 < α 0,05, yang dapat diartikan bahwa variabel Disiplin Kerja secara parsial berpengaruh signifikan terhadap Kepuasan Pelanggan.

scholarly journals Determinan Market Share Perbankan Syariah di Indonesia

2021 ◽  
Vol 10 (2) ◽  
pp. 199-204
Author(s):  
Eliana Eliana ◽  
Nazri Zarman ◽  
Ismuadi Ismuadi ◽  
Intan Novia Astuti ◽  
Ayumiati Ayumiati
Keyword(s):  
Linear Regression ◽  
Multiple Linear Regression ◽  
Market Share ◽  
Commercial Banks ◽  
Islamic Banking ◽  
Company Performance ◽  
Analysis Technique ◽  
Relationship Of ◽  
The Relationship

Sharia banking is currently very popular with the Indonesian people, so to prepare for this increasingly selective business competition, Islamic Commercial Banks are required to improve their company performance so that investors are attracted to invest. This study aims to determine the effect of BOPO, ROA, NPF, and DPK on the market share of Islamic banking in Indonesia. The samples used were BUS and UUS with 52 data. Multiple linear regression is used as an analysis technique to produce a detailed description of the relationship of each variable used. The regression results tell that BOPO and DPK have no significant effect on market share, while ROA and NPF have a positive and significant effect on market share in Islamic banking in Indonesia.

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