Modeling of soil shear strength using multiple linear regression (MLR) at Penang, Malaysia

This paper presents multiple linear regression (MLR) soil shear strength models developed from electrical resistivity and seismic refraction tomography data. The MLR technique is used to estimate the value of dependent variables of soil shear strength based on the value of two independent variables, namely, resistivity and velocity. These parameters were regressed using regression statistics technique for generating MLR model. The results of MLR model, which is based on the estimation of model dependent parameters (Log10 resistivity and Log10 velocity), calculated for p-value, are less than 0.05 and VIF value less than 10 for cohesion and friction angle models. This result shows that there is a statistically significant relationship between cohesion and friction angle with geophysical parameters (independent variables). The estimation accuracy of the MLR models is also conducted for verification, and the result shows that RMSE value for predicted cohesion and predicted friction angle is 0.77 kN/m2 and 1.73° which is close to zero. Meanwhile, MAPE value was found to be 4.57 % and 7.61 %, indicating highly accurate estimation for the MLR models of predicted cohesion and predicted friction angle. Based on the application of near surface, the study area was successfully classified into two regions, namely, medium and hard clayey sand. Thus, it is concluded that MLR method is suitable in estimating the subsurface characterization that covered more regions compared to the traditional method (laboratory test).

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ANALISIS VARIABEL YANG BERPENGARUH TERHADAP KINERJA PERUSAHAAN DI BURSA EFEK INDONESIA

10.31227/osf.io/7vum4 ◽

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.

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

Jurnal Manajemen Bisnis Krisnadwipayana ◽

10.35137/jmbk.v3i3.11 ◽

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.

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NLEAP Computer Model and Multiple Linear Regression Prediction of Nitrate Leaching in Vegetable Systems

HortTechnology ◽

10.21273/horttech.12.2.250 ◽

2002 ◽

Vol 12 (2) ◽

pp. 250-256 ◽

Cited By ~ 2

Author(s):

Hudson Minshew ◽

John Selker ◽

Delbert Hemphill ◽

Richard P. Dick

Keyword(s):

Linear Regression ◽

Multiple Linear Regression ◽

Nitrate Leaching ◽

Cover Crops ◽

N Uptake ◽

N Leaching ◽

Residual Soil ◽

Vegetable Crops ◽

Crop N Uptake ◽

Mlr Model

Predicting leaching of residual soil nitrate-nitrogen (NO3-N) in wet climates is important for reducing risks of groundwater contamination and conserving soil N. The goal of this research was to determine the potential to use easily measurable or readily available soilclimatic-plant data that could be put into simple computer models and used to predict NO3 leaching under various management systems. Two computer programs were compared for their potential to predict monthly NO3-N leaching losses in western Oregon vegetable systems with or without cover crops. The models were a statistical multiple linear regression (MLR) model and the commercially available Nitrate Leaching and Economical Analysis Package model (NLEAP 1.13). The best MLR model found using stepwise regression to predict annual leachate NO3-N had four independent variables (log transformed fall soil NO3-N, leachate volume, summer crop N uptake, and N fertilizer rate) (P < 0.001, R2 = 0.57). Comparisons were made between NLEAP and field data for mass of NO3-N leached between the months of September and May from 1992 to 1997. Predictions with NLEAP showed greater correlation to observed data during high-rainfall years compared to dry or averagerainfall years. The model was found to be sensitive to yield estimates, but vegetation management choices were limiting for vegetable crops and for systems that included a cover crop.

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Can chlorophyll-a in meso-oligotrophic shallow waters be estimated using statistical approaches and empirical models from MODIS imagery?

RBRH ◽

10.1590/2318-0331.231820170106 ◽

2018 ◽

Vol 23 (0) ◽

Author(s):

Andres Mauricio Munar ◽

José Rafael Cavalcanti ◽

Juan Martin Bravo ◽

David Manuel Lelinho Da Motta Marques ◽

Carlos Ruberto Fragoso Júnior

Keyword(s):

Linear Regression ◽

Spatial Heterogeneity ◽

Multiple Linear Regression ◽

Chlorophyll A ◽

Linear Regression Analysis ◽

Multiple Linear Regression Analysis ◽

Accurate Estimation ◽

Shallow Waters ◽

Chl A ◽

Input Variables

ABSTRACT Accurate estimation of chlorophyll-a (Chl-a) concentration in inland waters through remote-sensing techniques is complicated by local differences in the optical properties of water. In this study, we applied multiple linear regression (MLR), artificial neural network (ANN), nonparametric multiplicative regression (NPMR) and four models (Appel, Kahru, FAI and O14a) to estimate the Chl -a concentration from combinations of spectral bands from the MODIS sensor. The MLR, NPMR and ANN models were calibrated and validated using in-situ Chl -a measurements. The results showed that a simple and efficient model, developed and validated through multiple linear regression analysis, offered advantages (i.e., better performance and fewer input variables) in comparison with ANN, NPMR and four models (Appel, Kahru, FAI and O14a). In addition, we observed that in a large shallow subtropical lake, where the wind and hydrodynamics are essential factors in the spatial heterogeneity (Chl-a distribution), the MLR model adjusted using the specific point dataset, performed better than using the total dataset, which suggest that would not be appropriate to generalize a single model to estimate Chl-a in these large shallow lakes from total datasets. Our approach is a useful tool to estimate Chl -a concentration in meso-oligotrophic shallow waters and corroborates the spatial heterogeneity in these ecosystems.

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

account ◽

10.32722/acc.v8i1.3879 ◽

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

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

JURNAL STIE SEMARANG ◽

10.33747/stiesmg.v11i02.365 ◽

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.

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

PLoS ONE ◽

10.1371/journal.pone.0243589 ◽

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.

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

Journal of World Conference (JWC) ◽

10.29138/prd.v1i1.48 ◽

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.

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

Jurnal Agritech ◽

10.22146/agritech.17022 ◽

2017 ◽

Vol 37 (1) ◽

pp. 109 ◽

Cited By ~ 1

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.

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

KnE Social Sciences ◽

10.18502/kss.v5i5.8825 ◽

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

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