Multiple Linear Regression Equation Research Articles

Relationships Between Partial Milk Yield and Actual Milk Yield According to Parity in Buffaloes

In this study, the relationships between 100-day of partial milk yield and 270-day of additive and total milk yield of buffaloes according to different parity were investigated. A total of 697 lactation records belonging to 135 heads of buffalo and seven lactations were used in the material. The relationships between the animals' 100-day partial milk yield for 270-day and total milk yield were analyzed for seven lactations. In the study, 100-day milk yield was taken as an independent variable, 270-day and total milk yields as dependent variables, and possible relationships were determined according to simple and multiple linear regression analysis methods. The average lactation period was 256.74 ± 2.61 days, the average 270-day additive milk yield was 2078 ± 65.26 litres and the average total milk yield was 1831 ± 89.57 litres. The daily average milk yields were 7.69 ± 0.11 and 7.08 ± 0.07 liters for 270-day and 100-day respectively. The correlation coefficients were calculated for each parity and calculated as 0.901 (p < 0.01) between the 100-day and 270-day additive yield for the general group. The simple and multiple linear regression equations were shown as [V270 = 470.72 + 1.737 V100 (R2 = 80.2%)], [V270 = 966.23 + 0.645 V100 + 0.001V1002 (R2 = 82.4%)] for the groups. As the parity of lactation increased, it was seen that the determination coefficients were increased. Finally, predicting the total lactation yield by using 100-day of partial milk yield has the highest accuracy.

EVALUATION OF GROUND BORNE VIBRATION WITH RESPECT TO PILE DRIVING

Construction activities contribute to ground-borne vibrations, leading to structural damage and adverse environmental effects like noise pollution and human discomfort. Piling, particularly dynamic piling using a hammer drop, is a common construction practice in Malaysia for erecting high-rise buildings. However, this activity, if conducted near urban or residential areas, can result in various issues such as soil settlement and structural damage. Pile-induced vibrations result from the energy transfer initiated by the hammer drop, transmitting through the pile and subsequently propagating into the surrounding soil.he damping effects of these waves decrease with increasing distance from the pile, while the energy transferred to the ground rises with the depth of pile penetration. The relationship between the distance of the pile from the vibration source and Peak Particle Velocity (PPV) is inversely proportional, indicating that as the distance increases, the PPV decreases. Conversely, the relationship between pile depth and PPV is directly proportional, implying that as the pile depth increases, the PPV also increases. The analysis reveals that Peak Particle Velocity (PPV), distance, and pile depth exhibit similar positively skewed distributions with negative kurtosis. Negative linear correlation exists between PPV and distance, while a positive correlation is observed with pile depth. The multiple linear regression equation, PPV = 1.803 – 0.0810 Distance + 0.1176 Pile Depth, highlights PPV's dependence on both variables, with significant P-values. The model's explanatory power, indicated by an 82.80% R-squared value, is notable. Validation shows minor discrepancies within 0.3 mm/s between on-site PPV measurements and regression predictions. Although the highest recorded PPV suggests potential damage, most data remain below 3 mm/s, emphasizing the importance of considering distance and pile depth in managing ground vibrations. The regression model proves reliable. The primary objectives of this study are to establish and analyze the relationships between PPV, pile depth, and distance from the vibration source. Additionally, the study aims to develop a ground-borne vibration model using multiple linear regression.

Pengaruh Nilai Tukar Rupiah dan Suku Bunga terhadap Ekspor Ikan Indonesia ke Jepang

This study aims to determine the effect of the rupiah exchange rate and interest rates on Indonesian fish exports to Japan. The type of research used in this study is quantitative research. The data collection technique used is documentation with the type of time series data for the last 11 years, namely from 2012-2022. The population and research sample are data on the rupiah exchange rate, interest rates and exports from 2012-2022. The data analysis techniques used are multiple linear regression equation tests, hypothesis testing and coefficient of determination analysis. The results showed that the rupiah exchange rate has a negative and significant effect on Indonesian fish exports to Japan. Meanwhile, interest rates have a positive and significant effect on Indonesian fish exports to Japan. Simultaneously, the rupiah exchange rate and interest rates together have a significant influence on Indonesian fish exports to Japan. The magnitude of the influence of the two independent variables on the dependent variable is about 96%.

The Effect of Influence Job Environment, Job Characteristic, and Job Insecurity OF Burnout On Employee PT. Sandabi Indah Lestari.

This research aims to determine the joint influence of job environment, job characteristics, job insecurity on burnout in PT employees. Sandabi Indah Lestari, both partially and simultaneously. The object of this research is PT. Sandabi Indah Lestari, totaling 92 respondents. In this research, the results of the multiple linear regression test showed that the regression equation obtained was as follows: Y = 8.265 + 0.680 (X1) + 0.320 (X2) + 0.227 (X3). Based on the multiple linear regression equation above, it can be interpreted that: The results of the study show that the Job Envinronment variable has a significant effect on Burnout at PT. Sandabi Indah Lestari, North Bengkulu. The research results show that the Job Characteristic variable has a significant effect on Burnout at PT. Sandabi Indah Lestari, North Bengkulu. The research results show that the Job Insecurity variable has a significant effect on Burnout at PT. Sandabi Indah Lestari, North Bengkulu. From the results of the tests that have been carried out, it can be concluded that the variables Job Envinronment, Job Characteristics and Job Insecurity have a significant effect on Burnout at PT. Sandabi Indah Lestari, North Bengkulu.

The Influence of Capital Expenditures and Investment on Economic Growth in West Nusa Tenggara Province 2012-2022

Economic growth is the process of a country's economic condition continuously moving towards a better condition over a certain period. Economic growth can also be interpreted as the process of increasing the production capacity of an economy which is realized in the form of an increase in national income. The aim of the research was to determine the effect of capital expenditure and investment on economic growth in West Nusa Tenggara Province. The method used in this research is the case study method and data collection in this research is by collecting information related to economic growth as seen from capital expenditure and investment. The research uses secondary data from 2012 to 2022 consisting of capital expenditure and investment data as well as economic growth. Data analysis techniques use the Multiple Linear Regression equation, t test, F test and coefficient of determination (R2). The research results show that capital expenditure has a positive but not significant effect on economic growth because it is based on the results of the regression with a tcount value smaller than ttable and a significance value greater than 0.05. The research results also show that investment has a positive and significant effect on economic growth. The coefficient of determination test results (R2) of 77.1% for capital expenditure and investment can explain economic growth and 22.9% is influenced by other variables not included in the research.

The Effect Of Self-Actualization Needs And Workload On Employee Work Performance At The Bengkulu City Industry And Trade Office

The title of this study is the effect of self-actualization needs and workload on employee performance at the Bengkulu City Industry and Trade Office. This research is based on the importance of employee performance for public organizations. Employee work performance is influenced by several factors, including self-actualization needs and workload. This study aims to analyze the effect of self-actualization needs and workload on employee performance at the Department of Industry and Trade of Bengkulu City.This type of research is quantitative research with a descriptive approach. The population of this study were all employees of the Bengkulu City Industry and Trade Office. The number of research samples was 65 people. Data collection was done using a questionnaire. Data analysis techniques using multiple linear regression analysis techniques. The results of data analysis obtained multiple linear regression equations as follows: Y = 10.995 + 0.567 X1 - 0.406 X2. The results of the analysis show that the need for self-actualization has a positive and significant effect on employee performance (tcount = 7.757 and Sig. = 0.000) and workload has a positive and significant effect on employee performance (tcount = 5.582 and Sig. = 0.000). Simultaneously, self-actualization needs and workload have a significant effect on employee work performance (Fcount = 98.024 and Sig. = 0.000).It is recommended to the Bengkulu City Industry and Trade Office to be able to improve employee performance by increasing self-actualization needs and managing employee workload.

Evaluation and associated factors of public health emergency management among medical college students in a city in Southwest China: a cross-sectional study

BackgroundColleges and universities face an increased risk of public health emergencies. Among them, medical colleges and universities deserve more attention as they serve as the play a fundamental role in providing public health emergency services and in cultivating medical professionals. Effectively managing infectious disease prevention and control, as well as responding to public health emergencies in medical colleges and universities, is of great importance for enhancing the capacity of social emergency governance and improving the completeness of the public health system. This study aims to understand the management of public health emergencies in medical colleges in a city in southwest China, explore the factors associated with medical college students’ evaluations, and provide recommendations for emergency management mechanisms in colleges and universities.MethodsIn total, 781 medical college students were selected through stratified random sampling and surveyed using a questionnaire. The main factors affecting students’ evaluation of emergency management were analyzed using multiple linear regression and structural equation modeling.ResultsThe overall emergency management situation in medical colleges was relatively complete, with satisfactory results. Medical college students’ satisfaction with the timeliness of prevention measures was the highest, while the publicity and education were the lowest. Multiple linear regression analysis showed that grades, emergency education, -simulation training, -information reporting, and dynamic adjustment measures were associated with the evaluation of emergency management by medical students.ConclusionsAlthough the evaluation of emergency management in medical colleges was generally positive, certain limitations still existed. To improve the development of the public health system, colleges and universities should constantly reform and innovate emergency management mechanisms according to the important links in the prevention and control processes.

Faktor-Faktor yang Mempengaruhi Pendapatan Pengrajin Anyaman Lontar di Desa Aeramo Kecamatan Aesesa Kabupaten Nagekeo

This study aims to determine the effect of capital, labor, work experience and education on the income of palm woven craftsmen in Aeramo Village, Aesesa District, Nagekeo Regency through data sourced from palm woven craftsmen with calculations using the SPSS Program. The analysis technique used is multiple linear regression. To calculate the multiple linear regression equation, the data must meet the basic assumption test, namely through hypothesis testing. The coefficient value of the capital variable is 0.521 with tcount table (4.866 > 2.048), the coefficient value of the labor variable is 0.404 with tcount > table (4.061 > 2.048), the coefficient value of the work experience variable is 0.224 with tcount > ttable (2.891 > 2.048) and education variable coefficient value is 0.362 with tcount > ttable (2.715 > 2.048). Then for the F test, the value of Fcount Ftable (11.348 2.99).

Pengaruh Kepemimpinan dan Motivasi Kerja terhadap Kinerja Pegawai Balai Besar Meteorologi, Klimatologi, dan Geofisika Wilayah II - Tangerang Selatan

This study aims to determine the influence of leadership and motivation on the performance of employees of the Center for Meteorology, Climatology, and Geophysics Region II South Tangerang. The research methods used in this study are associative methods and data collection with questionnaire techniques, interviews and observations. This study used a saturated sample with 76 respondents. Data analysis method with validity test, reliability test, normality test, multiple linear regression equation, correlation coefficient, determination coefficient, and significance test. The results of comprehensive leadership research affect employee performance because the significant value is below 0.05. Work motivation partially affects employee performance because the significant value is below 0.05. Simultaneously, Leadership and Work Motivation have a positive and significant effect on Employee Performance significantly with an F value 51.649 > F> table 3.18 with a coefficient of determination value of 56.8%.

How Qualified is The Company’s Earning Quality: a Study of The 100 Most Liquid Indonesian Companies

Investor behavior can be reflected in the market price. Market price movement have strong correlation with market perspective about company earnings. Market does not always positively react to high earnings information, but should be high quality of earnings. High quality earnings can reflect the company's actual financial condition, which useful for investment decision making for investors, and determine business strategies for companies. The aim of this study is to obtain empirical evidence regarding the effect of earnings persistence, liquidity, growth opportunity, profitability, and capital structure toward earnings quality. The objects in this study are companies included in the Kompas100 Index, index that ranks 100 companies with the highest liquidity, consecutively during 2018-2020. Secondary data used was obtaining from financial reports and analyzed using multiple linear regression equations. This research found that companies which can generate profit from their main operation, not from foreign exchange or other income supposed to be companies with high quality earnings. Moreover, business strategic that such as market expansion, differentiation even though in the early stage judge can improve quality of earnings.

Application of MLR Method and Pearson Correlation on Nickel Extraction from Laterite Using Nitric Acid

Indonesia is a country rich in laterite mining especially in Celebes island and northern Moluccas. Laterite is a mineral rich with precious nickel. Nitric acid leaching has been used for nickel extraction from laterite under the influence of nitric acid concentration (2.0 M, 4.0 M, and 6.0 M) and leaching temperature (65oC, 70oC, and 75oC) during 60 min. at 300 rpm. The preliminary study aims to apply multiple linear regression (MLR) method to examine the dominant effect between acid concentration and leaching temperature on nickel extraction, and also Pearson correlation to study significant correlation between the variables involved (acid concentration, leaching temperature, and nickel concentration). The method and results is related to acid leaching at varied temperature set up as predictors and nickel concentration as dependent variable in the MLR equation using the enter method. The MLR method showed that acid concentration gave significant effect on nickel concentration, however, the leaching temperature showed no significant effect on nickel extraction at t ≤ 0.05. The Pearson correlation showed acid concentration correlated significantly with nickel concentration. The Kolmogrov-Smirnov (K-S) test showed normality for distribution of nickel concentration. The acid leaching method is potential for nickel extraction from laterite using extensive range of acid concentrations and leaching temperatures to improve nickel extraction.

Analisis Pengaruh Sektor Pariwisata Dalam Pembangunan di Kabupaten Nagekeo

This study aims to determine the influence of the tourism sector on development in Nagekeo Regency through data sourced from the Nagekeo Regency Tourism Office with calculations using the SPSS 23 Program. The analysis technique used is multiple linear regression. To calculate the multiple linear regression equation, the data must meet the basic assumption test, namely through the classical assumption test and hypothesis testing. The results of this study indicate that: the first variable of the hotel and restaurant tourism sector tax has a positive effect on the development variable. This is evidenced by the results of the individual parametric significance test (t test). The value of tcount ttable (5.636 2.015). The two variables of employment have a positive effect on the development variable with a value of tcount ttable (3.215 2.015). Then for the F test, the value of Fcount Ftable (9.529 5.79). This means that the tourism sector tax and employment together have a significant effect on development. The development of the tourism sector is directed at the development of the hotel or lodging and restaurant sectors around community-based tourist destinations.

Reliability of Monte Carlo simulation approach for estimating uniaxial compressive strength of intact rock

The strength of rock has significant influence on its performance, and is, therefore, a key input during modelling and analysis of mining and geotechnical engineering structures. The uniaxial compressive strength (UCS), which is a popular parameter to quantifying rock strength can be determined in the laboratory using suggested method by International Society of Rock Mechanics (ISRM). However, the laboratory determination of UCS consumes time, it is costly, and sometimes may not be feasible to perform because of different conditions of rock. Hence, this study attempts to employ Monte Carlo simulation (MCS) approach to estimate UCS, and to overcome various uncertainties associated with UCS estimation. To use MCS approach for UCS estimation, block punch index (BPI), Brazilian tensile strength (BTS), point load index (IS(50)), and P-wave velocity (Vp) were selected as the model inputs. A multiple linear regression (MLR) equation was developed and used to predict UCS by the MCS approach. The methodology was applied to estimate UCS using real BPI, BTS, Is(50), and Vp data as inputs. The proposed approach simulated UCS values that are consistent with UCS values measured in the laboratory. The mean of the UCS values simulated through the MCS approach is 119.10 MPa, while the mean of the UCS values measured in the laboratory is 118.42 MPa. In addition, hypothesis testing revealed that the Brazilian tensile strength (BTS) is the parameter with the most influence on UCS of rock for the site investigated.

Dampak Fasilitas, Brand Image, Lokasi, dan Kepercayaan Pada Keputusan Konsumen Menginap di Hotel

The purpose of this study was to determine the effect of facilities,brand image, location, and trust in the decision of consumers to stay at the hotel. This research method uses a quantitative approach. The data collection technique used purposive sampling by distributing a questionnaire of 180 respondents with predetermined criteria being guests who were staying overnight and who were at least 17 years old. The results of the data analysis showed that all statement items for each variable in the questionnaire were declared valid, all variables were declared reliable. The results of the P-P Plot Normality Test show that the data used in this study are normally distributed. Multicollinearity test results show no symptoms of multicollinearity between independent variables in the regression model. The results of the Heteroscedasticity Test showed that there were no heteroscedasticity symptoms in the regression model because there was no clear pattern and the distribution of points above and below the number 0 on the Y axis. The results of the multiple linear regression equation in this study were Y = 2.699 + 0.083 X1 + 0.212 X2 + 0.176 X3 + 0.224 X4. Based on the value of Adjusted R square is 51.5%. The results of the t test data analysis show that the facilities do not affect the decision to stay, meanwhileBrand Image, location, and trust have a significant effect on the decision to stay.

PENGARUH KUALITAS PELAYANAN DAN KUALITAS INFORMASI PADA E-COMMERCE TOKOPEDIA

This research aims to determine the effect of service quality and information quality on customer satisfaction in Tokopedia E-commerce. The population of this study was all Universitas ABCD students at Tangerang with a sample of 97 students. The type of research used is an associative research design with quantitative analysis. The results of the multiple linear regression equation obtained Y=16.242+0.334X1+0.326X2. The results of the research show that the partial T-test between service quality (X1) and customer satisfaction (Y) obtained T count 6.884 T table 1.66071, information quality (X2) on customer satisfaction (Y) obtained T count 7.068 T table 1.66071 and F test simultaneously between service quality (X1) and information quality (X2) on customer satisfaction (Y) obtained F count 29.785 F count 4.84. Based on the analysis results, it can be concluded that there is a partial or simultaneous influence on customer satisfaction on Tokopedia E-commerce.

The Influence of Financial Knowledge, Financial Experience, and Income on Financial Management Behavior of Civil Servants in Pontianak City

This research aims to determine the influence of financial knowledge, financial experience and income on the financial management behavior of civil servants in the city of Pontianak. This type of research uses an associative research method. The population in this study were civil servants in 16 government agencies in Pontianak City, totaling 150 people. The sampling technique uses non-probability sampling. The data analysis tools used in this research are multiple linear regression analysis, multiple correlation coefficient (R), coefficient of determination (R2), simultaneous test (F test) and partial test (t). The results of this research show that the multiple linear regression equation model is Y = 23.248 + 0.018X1 + 0.291X2 + 0.475X3 + e. The correlation coefficient value shows an R value of 0.507, this value shows that financial knowledge (X1), financial experience (X2) and income (X3) with financial management behavior (Y) have a fairly strong correlation. The results of the coefficient of determination value show an R2 value of 0.257, which means that financial knowledge, financial experience and income influence the ups and downs of financial management behavior by 25.7% and the remaining 74.3% is influenced by other factors not examined in this research. The results of the simultaneous test (Test F) show that there is a significant influence simultaneously (together) between financial knowledge, financial experience and income on financial management behavior. The results of the partial test (t test) show that there is no partial significant influence between financial knowledge on financial management behavior and there is a partial significant influence of financial experience and income on the financial management behavior of civil servants in the city of Pontianak.

Innovation, competitiveness, and business ecosystem: determinants of local economic strengthening

This study aims to analyze the influence of innovation, competitiveness, and business ecosystem variables on strengthening the local economy. The development of small businesses as the basis of the people's economy is one of the strategic steps that need to be followed up with concrete steps to increase family productivity, improve the economy, and overcome the problems of poverty, and unemployment. Community business is one of the strengthening of the local economy. This research is field research with qualitative and quantitative approaches to provide a comprehensive explanation. The research sample was MSME business actors in Sukajadi Village, Muaraenim Regency using the purposive sampling method. Data collection techniques are used through surveys, documentation, and questionnaires using Likert scales to assess instruments. Multiple linear regression equations were utilized for the analysis of the data. The results showed that the variables of innovation, competitiveness, and business ecosystem partially or simultaneously affect the strengthening of the local economy. The independent variable affected the dependent variable by 51.2% while the remaining 48.8% was influenced by other variables not described in this study. Innovation, competitiveness, and business ecosystems play a crucial role in strengthening the local economy. These factors are interconnected and have a positive impact simultaneously and reinforce each other. By working together, innovation, competitiveness, and business ecosystems can create a strong sustainable, and inclusive local economic environment at the local level. This not only benefits local businesses but also for communities to become more resilient and able to access more opportunities. This condition supports the improvement of the welfare and quality of life of the community as a whole.

The Influence Of Service Quality, Company Image And Consumer Trust On Customer Satisfaction Pt. Indonesian Commuter Trains

This study aims to analyze the effect of service quality, company image and consumer confidence on consumer satisfaction. In this study using primary data obtained from distributing questionnaires to 100 KRL transportation service customers at PT. Kereta Commuter Indonesia. This research uses descriptive analysis and inferential analysis, and analyzed using multiple linear regression correlation analysis, the model feasibility test, and hypothesis testing. The results of this study indicate that there is a positive and significant effect on customer satisfaction. The results of the multiple linear regression equation are Y = 0.672 + 0.211X1 + 0.245X2 + 0.278X3 The feasibility test of the model in the R2 test shows that service quality, company image and consumer trust have an effect of 59.2% on consumer satisfaction. In the results of hypothesis testing (t test) obtained a significant value on the quality of service veriabel of 0.001, a significant value on the corporate image variable of 0.005, and a significant value of consumer trust variables of 0.004, it can be concluded that it means partially the three independent variables have a positive influence and Significant to the dependent variable is the variable customer satisfaction at PT. Kereta Commuter Indonesia.

Individualized driver amplitude in liver MR elastography: a linear regression study.

Current liver magnetic resonance elastography (MRE) scans often require adjustments to driver amplitude to produce acceptable images. This could lead to time wastage and the potential loss of an opportunity to capture a high-quality image. To construct a linear regression model of individualized driver amplitude to improve liver MRE image quality. Data from 95 liver MRE scans of 61 participants, including abdominal missing volume ratio (AMVR), breath-holding status, the distance from the passive driver on the skin surface to the liver edge (Dd-l), body mass index (BMI), and lateral deflection of the passive driver with respect to the human sagittal plane (Angle α), were continuously collected. The Spearman correlation analysis and lasso regression were conducted to screen the independent variables. Multiple linear regression equations were developed to determine the optimal amplitude prediction model. The optimal formula for linear regression models: driver amplitude (%) = -16.80 + 78.59 × AMVR - 11.12 × breath-holding (end of expiration = 1, end of inspiration = 0) + 3.16 × Dd-l + 1.94 × BMI + 0.34 × angle α, with the model passing the F test (F = 22.455, P <0.001) and R2 value of 0.558. The individualized amplitude prediction model based on AMVR, breath-holding status, Dd-l, BMI, and angle α is a valuable tool in liver MRE examination.

PENGARUH TINGKAT PENDIDIKAN DAN MOTIVASI KERJA TERHADAP PARTISIPASI KERJA WANITA DI KOTA TASIKMALAYA

This research aims to determine the influence of education level and work motivation simultaneously or partially on women's work participation in Tasikmalaya City. The research method used in this research is a quantitative research method with survey research using a questionnaire using a Likert scale. This research uses a sampling technique using the Accidental Sampling method. The researchers determined there were 343 samples. The data collection technique is by questionnaire. The data analysis technique using multiple linear regression equations was tested simultaneously using the F test and partially using the t test with SPSS software. The results of this research are that simultaneously the level of education and work motivation have a significant effect on work participation. Furthermore, partially the level of education and work motivation have a significant effect on work participation. Apart from that, the variable that has the greatest influence on work participation between the level of education and work motivation is the level of education.