scholarly journals Ridge Estimation's Effectiveness for Multiple Linear Regression with Multicollinearity: An Investigation Using Monte-Carlo Simulations

2021 ◽  
pp. 278-281
Author(s):  
O. G. Obadina ◽  
Adedayo Funmi Adedotuun ◽  
O. A. Odusanya
Keyword(s):  
Monte Carlo ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Random Error ◽  
Ordinary Least Squares ◽  
Linear Regression Coefficient ◽  
Monte Carlo Simulation Technique ◽  
Independent Variables ◽  
Average Mean Square Error ◽  
The Mean

The goal of this research is to compare multiple linear regression coefficient estimations with multicollinearity. In order to quantify the effectiveness of estimations by the mean of average mean square error, the ordinary least squares technique (OLS), modified ridge regression method (MRR), and generalized Liu-Kejian method (LKM) are compared (AMSE). For this study, the simulation scenarios are 3 and 5 independent variables with zero mean normally distributed random error of variance 1, 5, and 10, three correlation coefficient levels; i.e., low (0.2), medium (0.5), and high (0.8) are determined for independent variables, and all combinations are performed with sample sizes 15, 55, and 95 by Monte Carlo simulation technique for 1,000 times in total. As the sample size rose, the AMSE decreased. The MRR and LKM both outperformed the LSM. At random error of variance 10, the MRR is the most suitable for all circumstances.

scholarly journals Inside of the Linear Relation between Dependent and Independent Variables

2015 ◽  
Vol 2015 ◽  
pp. 1-11 ◽  
Author(s):  
Lorentz Jäntschi ◽  
Lavinia L. Pruteanu ◽  
Alina C. Cozma ◽  
Sorana D. Bolboacă
Keyword(s):  
Linear Regression ◽  
Multiple Linear Regression ◽  
Normal Distribution ◽  
Random Error ◽  
Linear Relation ◽  
Regression Analyses ◽  
Simple Linear Regression ◽  
New Approach ◽  
Independent Variables ◽  
Convenient Approach

Simple and multiple linear regression analyses are statistical methods used to investigate the link between activity/property of active compounds and the structural chemical features. One assumption of the linear regression is that the errors follow a normal distribution. This paper introduced a new approach to solving the simple linear regression in which no assumptions about the distribution of the errors are made. The proposed approach maximizes the probability of observing the event according to the random error. The use of the proposed approach is illustrated in ten classes of compounds with different activities or properties. The proposed method proved reliable and was showed to fit properly the observed data compared to the convenient approach of normal distribution of the errors.

ANALISIS VARIABEL YANG BERPENGARUH TERHADAP KINERJA PERUSAHAAN DI BURSA EFEK INDONESIA

2019 ◽  
Author(s):  
SUSENO - SUSENO
Keyword(s):  
Linear Regression ◽  
Multiple Linear Regression ◽  
Stock Exchange ◽  
T Test ◽  
The Other ◽  
Financial Leverage ◽  
F Test ◽  
Research Results ◽  
Independent Variables ◽  
Influential Variable

ANALISIS VARIABEL YANG BERPENGARUH TERHADAP KINERJA PERUSAHAAN DI BURSA EFEK INDONESIAOleh : Suseno STIE SATRIA Purwokerto ABSTRACT The aims of the research are (1) to analyze influence of age, scale, financial leverage, and profitability to performance of firms at The Indonesian Stock Exchange. (2) to determine the most influential variable on the performance of the firms. Hypotheses proposed in this research were: (1) Age, Scales, Financial Leverage, Profitability influences the performance of firms, (2) Age influences the performance of firms, (3) Scales influences the performance of firms, (4) Financial Leverage influences the performance of firms, (5) Profitability influences the performance of firms. Instrument of analysis employed in the research was multiple linear regression with t test and F test.The results of analyses of t test showed that profitability did not influence the performance of the firms. It was indicated by the value of computed t which was smaller than the value of t table. Meanwhile, the t test of age, scale and financial leverage indicated that the value of computed t > t table. It means that these variables (scale and financial leverage) influenced the performance of the firms. The F test showed that the independent variables of age, scale, financial leverage and profitability as a whole significantly influenced the performance of the firms. It was indicated by the calculated F > the value of F table, the value the age computed t which was smaller than the value of -t table..Based on the research results that age and profitability do not influence the performance of the firms, it is suggested that investors should not pay any attention to those variables. On the other hand, they should pay attention to the variables of scale and financial leverage. It is recommended that for further research should include longer periode of the sample.

PENGARUH KUALITAS PELAYANAN DAN KEPERCAYAAN TERHADAP LOYALITAS NASABAH PT BANK MANDIRI,Tbk CABANG JAKARTA KELAPA GADING BARAT

2015 ◽  
Vol 3 (3) ◽  
Author(s):  
Imam Wibowo ◽  
Santi Putri Ananda
Keyword(s):  
Linear Regression ◽  
Service Quality ◽  
Multiple Linear Regression ◽  
Analysis Tool ◽  
Positive Contribution ◽  
Homogeneous Population ◽  
Independent Variables ◽  
Research Population ◽  
The Impact

Purpose-To study the impact of the service quality and trust on customers loyalty of PT.Bank Mandiri,Tbk; Kelapa Gading Barat Branch. To improve the customers loyalty there are several factors that can influence them, such as service quality and trust. Methodology/approach-The research population was all customers PT.Bank Mandiri,Tbk;Kelapa Gading Barat Branch.According to the homogeneous population and based on the Gay and Diehl Theory, the samples taken were 50 people. Variables in this investigations consisted of: a).Independent Variables (exogenous): Service Quality (X1) and Trust (X2). b).The dependent variable (endogenous) Customers Loyalty (Y). Analysis tool being used is multiple linear regression which previously conducted validity and realiability. Findings-The result of investigations that service quality and trust simultaneously have a very strong contribution of 75,5% to the customers loyalty, and partially showed that service quality has significant and positive contribution to the customers loyalty of 64,8%. Partially, the trust variable has significant and positive contribution which amounted to 55,9% to the customers loyalty.

scholarly journals PENGARUH KETERSEDIAAN FITUR LAYANAN DAN KUALITAS PELAYANAN TERHADAP MINAT NASABAH DALAM MENGGUNAKAN BCA MOBILE DI WILAYAH JABODETABEK

account ◽  
2021 ◽  
Vol 8 (1) ◽  
Author(s):  
Marthauli Marthauli ◽  
Elly Mirati ◽  
Rahmanita Vidyasari
Keyword(s):  
Linear Regression ◽  
Service Quality ◽  
Multiple Linear Regression ◽  
Central Asia ◽  
Mobile Users ◽  
Mobile Banking ◽  
Independent Variables ◽  
Joint Contribution

ABSTRACT  In 2019, the number of BCA mobile banking transactions has increased by 99.2% and the number of BCA Mobile banking users has increased by 28.57%. This shows that the BCA mobile banking application is accepted by the majority of BCA bank customers, but in fact there are still many complaints from BCA Mobile users. Research aims to understand the effect of Service Feature Availability and Service Quality on Customers Interest in Using BCA Mobile in the Jabodetabek Area. The sample taken is 100 customers of Bank Central Asia. The analyze technique used is multiple linear regression with SPSS Version 26.0. The results shows that the Service Feature Availibility and Service Quality partially effect significantly of interest customers in using BCA Mobile in the Jabodetabek Area. All independent variables, have a joint contribution of 49.2% to the customers interest in using the BCA Mobile in the Jabodetabek Area.    Keywords: Service Feature, Service Quality, Customer Interest, BCA Mobile, Jabodetabek. ABSTRAK Pada tahun 2019, jumlah transaksi BCA mobile banking mengalami kenaikan sebesar 99,2%  dan jumlah pengguna BCA mobile banking mengalami kenaikan sebesar 28,57%. Hal ini menunjukkan bahwa aplikasi BCA mobile banking diterima dan diminati oleh sebagian besar nasabah bank BCA, tetapi kenyataannya masih banyak diterima keluhan dari pengguna BCA Mobile. Penelitian ini bertujuan untuk menganalisis pengaruh ketersediaan fitur layanan dan kualitas pelayanan terhadap minat nasabah dalam menggunakan BCA Mobile di wilayah Jabodetabek Sampel dalam penelitian ini terdiri dari 100 nasabah Bank Central Asia. Teknik analisis yang digunakan adalah regresi linear berganda dengan alat bantu analisis yaitu SPSS Versi 26.0. Hasil penelitian ini menunjukkan bahwa variabel ketersediaan fitur layanan dan kualitas pelayanan secara parsial berpengaruh signifikan terhadap minat nasabah dalam menggunakan BCA Mobile di wilayah Jabodetabek. Seluruh variabel bebas yaitu, ketersediaan fitur layanan dan kualitas pelayanan mempunyai kontribusi secara bersama-sama sebesar 49,2% terhadap minat nasabah dalam menggunakan BCA Mobile di wilayah Jabodetabek.    Kata kunci: Fitur Layanan, Kualitas Pelayanan, Minat Nasabah, BCA Mobile, Jabodetabek

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 Comparison of muscle quality and functional capacity between Japanese and Brazilian older individuals

PLoS ONE ◽  
2020 ◽  
Vol 15 (12) ◽  
pp. e0243589
Author(s):  
Hiroshi Akima ◽  
Akito Yoshiko ◽  
Régis Radaelli ◽  
Madoka Ogawa ◽  
Kaori Shimizu ◽  
...  
Keyword(s):  
Adipose Tissue ◽  
Regression Analysis ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Muscle Quality ◽  
Older Individuals ◽  
Stepwise Multiple Linear Regression ◽  
Independent Variables

Muscle quality is well-known to decrease with aging and is a risk factor for metabolic abnormalities. However, there is a lack of information on race-associated differences in muscle quality and other neuromuscular features related to functional performance. This study aimed to compare muscle quality, function, and morphological characteristics in Japanese and Brazilian older individuals. Eighty-four participants aged 65–87 years were enrolled in the study (42 Japanese: 23 men, 19 women, mean age 70.4 years; 42 Brazilians: 23 men, 19 women, mean age 70.8 years). Echo intensity (EI) and muscle thickness (MT) of the quadriceps femoris were measured using B-mode ultrasonography. A stepwise multiple linear regression analysis with EI as a dependent variable revealed that MT was a significant variable for Japanese participants (R2 = 0.424, P = 0.001), while MT and subcutaneous adipose tissue (SCAT) thickness were significant variables for Brazilian participants (R2 = 0.490, P = 0.001). A second stepwise multiple linear regression analysis was performed after excluding MT and SCAT thickness from the independent variables. Sex and age for Japanese participants (R2 = 0.381, P = 0.001) and lean body mass and body mass index for Brazilian participants (R2 = 0.385, P = 0.001) were identified as significant independent variables. The present results suggest that MT is closely correlated with muscle quality in Japanese and Brazilian older individuals. Increases in muscle size may induce decreases in intramuscular adipose tissue and/or connective tissues, which are beneficial for reducing the risks of metabolic impairments in Japanese and Brazilian older individuals.

scholarly journals The Influence of Product, Price, and Location on Consumer Purchasing Interest in Bakso Pak Kus Residen Sudirman Surabaya

2019 ◽  
Vol 1 (1) ◽  
pp. 157-166
Author(s):  
Dimas Septian Wijiantoro
Keyword(s):  
Data Analysis ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Sampling Technique ◽  
T Test ◽  
Product Price ◽  
F Test ◽  
Independent Variables ◽  
Analysis Technique ◽  
Study Population

Companies need to maintain their survival by developing and earning profits. Consumers have ever-changing tastes and desires, so companies must be prepared to face all these changes and constantly review and improve their offerings. Companies need to pay attention to factors that affect consumers' buying interest, including products, prices, and locations. This study aims to determine and analyze the effect of simultaneous product, price, and location on consumer buying interest in Bakso Pak Kus Jalan Sudirman Residen Surabaya. The study population was all consumers of Bakso Pak Kus Jalan Sudirman Resident Surabaya. The sampling technique is based on Hair, et al. (2010), that the number of samples is at least 5 times the number of indicators so that the number of samples in this study is 85 people. The data analysis technique used multiple linear regression, t test, and F test. The results showed that the product, price, and location partially affected the consumer buying interest of Bakso Pak Kus Jalan Sudirman Resident Surabaya as evidenced by the results of the t test showing the calculated t value all independent variables are greater than t table (1,989), which is 2,015 for the effect of product variables (X1), 2,608 for the influence of price variables (X2), and 6,037 for the effect of location variables (X3). . The results also show that the products, prices, and locations simultaneously influence consumers' buying interest in Bakso Pak Kus Jalan Sudirman Resident Surabaya as evidenced by the results of the F test which shows the value of F count> F table which is 45,001> 2,716.

scholarly journals The Impact of Leadership, Motivation and Discipline on Employee Performance (a Study on Employees of PT Surabaya Marine)

2021 ◽  
Author(s):  
Eva Trisnawati Chumairoh ◽  
Trianggoro Wiradinata
Keyword(s):  
Regression Analysis ◽  
Data Analysis ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Employee Performance ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Independent Variables ◽  
Leadership Motivation ◽  
The Impact

This purpose of this study was to determine the effect of leadership, motivation and discipline on employee performance. The independent variables were leadership (X1), motivation (X1) and discipline (X3). The dependent variable was employee performance (Y). This was explanatory research with a quantitative approach. The study was conducted at PT Surabaya Marine with employees. Data analysis was carried out through multiple linear regression analysis with the F test and t test. Employee performance was strongly influenced by leadership, motivation and discipline. Keywords: leadership, motivation, discipline, employee performance

scholarly journals Analisis Peluang terhadap Penilaian Kinerja Pegawai Menggunakan Metode Regresi Linier Berganda dengan SPSS

2021 ◽  
Vol 20 (2) ◽  
pp. 69
Author(s):  
Billy Nugraha ◽  
Wahyudin Wahyudin ◽  
Fahriza Nurul Azizah
Keyword(s):  
Data Analysis ◽  
Linear Regression ◽  
Human Resources ◽  
Multiple Linear Regression ◽  
Human Resource Development ◽  
Human Resource ◽  
Statistical Methods ◽  
Sampling Technique ◽  
Significance Testing ◽  
Independent Variables

<p class="Abstrak">Research on human resource development have been carried out. With the aim of can be used as parameters to create the development of quality human resources. This research aims to know the influence of opportunities on the assessment of the performance of employees. Opportunities under study is divided into three indicators, namely the environment, the rules and colleagues. Sampling technique in this study using a sampling of saturated. The technique of data analysis was conducted gradually, starting from the editing, coding, scoring and tabulation. In addition, using a likert scale developed by Ransis Likert. While for the development of research using statistical methods, it is necessary to qualify the classical assumption test before the test is conducted multiple linear regression. It aims to determine how much significance of significance testing. The results from the hypothesis t, there is on the value t<sub>count</sub> for the partial (sequential) starting from X<sub>1</sub> = 2,639, X<sub>2</sub> = 3,379 and X<sub>3</sub> = 2,210. In addition, the results of the hypothesis F, contained in the value of F<sub>count</sub> simultaneously (together) was 12,597. While the value of R Square (R<sup>2</sup>) of 0,282, if then the result of 28.2%. It can be concluded from the three independent variables affect the dependent variable by 28,2%.</p>

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