Multiple Regression Method Research Articles

Mediation Roles of Transformational Leadership and Psychological Empowerment on Work-Life Balance and In-role Performance of Vocational Educators in Nigeria

This study is necessitated by the dire need to determine the mechanisms of leadership transformation approaches that explain why 360-degree feedback is effective in helping supervisors and subordinates identify weaknesses and strengths and take positive actions for institutional health, growth, and productivity. The study tested five hypotheses based on survey responses from 754 TVET stakeholders (Deans, HODs, educators, undergraduate and postgraduate students). Data was elicited from the participants usingfour Scales. The reliability of the instruments was determined using the Cronbach alpha technique. Data collected was analysed using descriptive, inferential statistics and hierarchical Multiple Regression method to determine the total, direct and indirect effects of the variables studied. The result indicated that psychological empowerment and work-life balance jointly and significantly mediated the relationship between transformational leadership and the in-role performance (IRP), and also psychologicalempowerment and educators’ IRP. This study contributes to the extant literature that promote supervisors’ transformational leadership styles, vocational educators’ in-role performance, and work-life balance. The practical implications, limitations, and suggestions for future research were discussed.

Theoretical Studies on the Insertion Reaction of Polar Olefinic Monomers Mediated by a Scandium Complex

This study aimed to investigate the insertion reaction of the polar monomers mediated by the cationic rare earth metal complex [(C5H5)Sc(NMe2CH2C6H4-o)]+ utilizing a combination of density functional theory (DFT) calculations and multivariate linear regression (MLR) methods. The chain initiation step of the insertion reaction could be described by the poisoning effect and the ease of monomer insertion, which could be represented via the DFT-calculated energy difference between σ- and π-coordination complexes (ΔΔE) and insertion energy barrier (ΔG≠), respectively. The results indicate that ΔΔE and ΔG≠ can be predicted by only several descriptors using multiple linear regression methods, with a root mean squared error (RMSE) of less than 2.5 kcal/mol. Furthermore, the qualitative analysis of the MLR models provided effective information on the key factors governing the insertion reaction chain initiation.

<p>Assessing the Effect of Monetary Policy on the Competitiveness of Agricultural Enterprises</p>

There are many scientific works the effects of monetary policy on the competitiveness of enterprises. However, no research has yet been conducted on agricultural enterprises. Therefore, the aim of this article is to indicate the effects of monetary policy on the competitiveness of agricultural enterprises. Regression analysis is a suitable econometric method to determine the strength of the effects of monetary policy on competitiveness. In our model, a multiple regression method was used, where interest rates, inflation and exchange rate were defined as exogenous (independent) variables, while revenues of agricultural enterprises were defined as an endogenous (dependent) variable. The findings reveal that the monetary policy significantly affects agricultural competitiveness. Specifically, higher interest rates are shown to have a negative impact on the performance of agricultural enterprises. Economic theory states that higher interest rates have a negative impact on competitiveness, and the results of calculations show that interest rates do have a dominant impact on the agricultural enterprise performance. Monetary policymakers, especially the central bank, should focus on keeping interest rates low in order to increase the availability of operating and investment capital. A market environment with low interest rates could stimulate the introduction of innovations, the implementation of new technologies and the development of robotization in agricultural enterprises. Lower financing costs due to low interest rates could boost business activities and economic growth, which could have a positive impact on the competitiveness of agricultural businesses. The conclusions of our research confirm that in the Czech Republic monetary policy remains a key tool for supporting the development of agricultural enterprises and their competitiveness.

Analysis of the Determining Factors of Generation Z's Interest in Working in the Agricultural Sector in Bima Regency

This research is motivated by the phenomenon of the high interest of generation Z in Bima Regency in choosing to work in the agricultural sector. This research aims to analyze the influence of various factors, such as family economic conditions, environment, personality, motivation, and farming experience, on Generation Z's interest in choosing to work in the agricultural sector in the Bima Regency area. The type of research used is quantitative-descriptive. The population is generation Z, aged 15–24 years, who work as farmers or in the agricultural sector in six sub-districts in Bima Regency, namely Lambu, Monta, Wera, Langgudu, Belo, and Sape, with a total sample of 322 respondents. Primary data collection was carried out through interviews, observation, and documentation using questionnaire instruments and Google Forms. The data analysis was carried out using the multiple linear regression method. The results of the analysis show that partially family economic factors, environment, personality, motivation, and farming experience have a positive and significant effect on generation Z's interest in working in the agricultural sector in Bima Regency. Meanwhile, simultaneously, family economic variables, environment, personality, motivation, and farming experience have a positive and significant effect on generation Z's interest in working in the agricultural sector in Bima Regency.

Chemoinformatics Study of Benzodiazepine-1, 2, 3-triazole Derivatives Targeting Butyrylcholinesterase.

This study aims to assess the potential bioactivity of newly designed benzodiazepine-1,2,3-triazole derivatives using in-silico methodologies, with a primary focus on elucidating their inhibitory interactions with the butyrylcholinesterase (BuChE) enzyme, which is implicated in Alzheimer's disease. We employed multiple linear regression (MLR) methods to conduct a quantitative structure-activity relationship (QSAR) analysis on a collection of 31 benzodiazepine-1,2,3-triazole derivatives, with the goal of investigating, assessing, and predicting their activities, as well as designing novel compounds. This approach yielded highly accurate results, with coefficients of determination (R²) of 0.77 and 0.81 for the training and test datasets, respectively. Additionally, the optimized compounds were subjected to an Absorption, Distribution, Metabolism, Excretion, and Toxicity (ADMET) analysis, demonstrating their potential as non-hepatotoxic agents with enhanced absorption and blood-brain barrier permeability. To further validate these findings, the most favorable docking conformations were analyzed using molecular dynamics (MD) simulations with GROMACS software, predicting the stability of the formed complexes. These simulations underscored the critical role of hydrogen bonds in stabilizing the compounds at the BuChE receptor binding site. The results hold great promise for the development of innovative benzodiazepine-1,2,3-triazole derivatives as effective BuChE inhibitors, potentially leading to therapeutic interventions for Alzheimer's disease.

Decoding the Fashion Quotient: An Empirical Study of Key Factors Influencing U.S. Generation Z’s Purchase Intention toward Fast Fashion

With a reputation for offering stylish and on-trend clothing at pocket-friendly prices, fast fashion brands resonate with the economic realities faced by many Gen Z consumers. Gen Z consumers are not just a target consumer market but also a driving force shaping the future of the fashion industry. Their preferences, values, and behaviors impact trends, reshape retail practices, and influence the overall trajectory of the fashion landscape. The evolving discourse surrounding sustainability and conscious consumerism suggests that the future may see a recalibration of the fashion landscape, with Gen Z at the forefront of demanding more responsible and transparent practices from the fashion industry. Therefore, this study aimed to identify the factors significantly influencing U.S. Gen Z consumers’ intentions to purchase fast fashion. Building on the theory of planned behavior, a research model for understanding Gen Z consumers’ intentions to buy fast fashion is proposed. Attitude, subjective norms, perceived behavioral control, environmental knowledge, need for uniqueness, materialism, and fashion leadership are investigated as predictors. Moreover, we examined how environmental knowledge, need for uniqueness, materialism, and fashion leadership affect Gen Z consumers’ attitudes toward fast fashion products. A total of 528 eligible responses were collected for analysis through a Qualtrics online survey. The proposed model’s psychometric properties were evaluated, and the hypotheses were tested using the multiple regression method. It was found that attitude, perceived consumer effectiveness, environmental knowledge, and fashion leadership significantly influenced Gen Z consumers’ intentions to shop fast fashion. Additionally, Gen Z consumers’ environmental knowledge, need for uniqueness, and fashion leadership significantly affect their attitudes toward fast fashion. The research model demonstrated strong explanatory power, explaining 68.9% of the variance in Gen Z consumers’ purchase intention toward fast fashion.

Pengaruh Product Quality, Brand Image, dan Customer Satisfaction terhadap Customer Loyalty Sepatu Lari Outseight di Jakarta

One intriguing aspect within the field of running in Indonesia, particularly in Jakarta, is the development of locally-branded running shoes that offer quality nearly on par with international brands. Given the substantial interest among running enthusiasts ini Jakarta, this has prompted researchers to delve further into the consumer loyalty towards local running shoes, particularly those under the Ortuseight brand. The aim of this study is to analyze the impact of product quality, brand image, and customer satisfaction on customer loyalty towards Ortuseight running shoes. This research employs a quantitative approach, collecting through an online questionnaire completed by 133 members of the running community in Jakarta. The analysis utilize multiple linear regression method. The findings of the study indicate that product quality, brand image, and customer satisfaction have a positive and significant influence on customer loyalty towards local running shoes, specifically Ortuseight

Accuracy of FreeStyle Libre flash glucose monitoring in patients with type 2 diabetes who migrated from highlands to plains

BACKGROUND The FreeStyle Libre flash glucose monitoring (FGM) system entered the Chinese market in 2017 to complement the self-monitoring of blood glucose. Due to its increased usage in clinics, the number of studies investigating its accuracy has increased. However, its accuracy has not been investigated in highland popu-lations in China. AIM To evaluate measurements recorded using the FreeStyle Libre FGM system compared with capillary blood glucose measured using the enzyme electrode method in patients with type 2 diabetes (T2D) who had migrated within 3 mo from highlands to plains. METHODS Overall, 68 patients with T2D, selected from those who had recently migrated from highlands to plains (within 3 mo), were hospitalized at the Department of Endocrinology from August to October 2017 and underwent continuous glucose monitoring (CGM) with the FreeStyle Libre FGM system for 14 d. Throughout the study period, fingertip capillary blood glucose was measured daily using the enzyme electrode method (Super GL, China), and blood glucose levels were read from the scanning probe during fasting and 2 h after all three meals. Moreover, the time interval between reading the data from the scanning probe and collecting fingertip capillary blood was controlled to < 5 min. The accuracy of the FGM system was evaluated according to the CGM guidelines. Subsequently, the factors influencing the mean absolute relative difference (MARD) of this system were analyzed by a multiple linear regression method. RESULTS Pearson’s correlation analysis showed that the fingertip and scanned glucose levels were positively correlated (R = 0.86, P = 0.00). The aggregated MARD of scanned glucose was 14.28 ± 13.40%. Parker's error analysis showed that 99.30% of the data pairs were located in areas A and B. According to the probe wear time of the FreeStyle Libre FGM system, MARD1 d and MARD2–14 d were 16.55% and 14.35%, respectively (t = 1.23, P = 0.22). Multiple stepwise regression analysis showed that MARD did not correlate with blood glucose when the largest amplitude of glycemic excursion (LAGE) was < 5.80 mmol/L but negatively correlated with blood glucose when the LAGE was ≥ 5.80 mmol/L. CONCLUSION The FreeStyle Libre FGM system has good accuracy in patients with T2D who had recently migrated from highlands to plains. This system might be ideal for avoiding the effects of high hematocrit on blood glucose monitoring in populations that recently migrated to plains. MARD is mainly influenced by glucose levels and fluctuations, and the accuracy of the system is higher when the blood glucose fluctuation is small. In case of higher blood glucose level fluctuations, deviation in the scanned glucose levels is the highest at extremely low blood glucose levels.

The Influence of the Human Resource Information System ( HRIS), Organizational Culture, Financial Incentives, and Flexible Working Space (FWS) On Employee Performance (Survey of PT Cloud Hosting Indonesia employees)

This research is a study to examine the application of Human Resource Information System (HRIS), Organizational Culture, Financial Incentives and Flexible Working Space (FWS) on employees of PT. Cloud Hosting Indonesia. Specifically, the purpose of conducting research at PT Cloud Hosting Indonesia is to find out management practices in applying the concepts of HRIS, Organizational Culture, Financial Incentives and FWS along with their influence on Employee Performance, especially for employees of PT Cloud Hosting Indonesia. The scope of this research will measure the relationship between research variables both dependent variables and independent variables using quantitative methods, namely multiple linear regression methods. In this study, a research sample was taken from employees of PT Cloud Hosting Indonesia and obtained a total of 60 respondents with a sampling method using a questionnaire distributed to all employees at PT Cloud Hosting Indonesia. The results of respondents' responses from the questionnaire were processed so that the results obtained that the HRIS variables, Organizational Culture, Financial Incentives and FWS, all have a relationship between variables and a significant influence on employee performance variables at PT. Cloud Hosting Indonesia.

Determinants of Curly Chili Demand in Ambon City

This study aims to analyze the influence of curly chili prices, household income, and the number of household dependents on the demand for curly chilies in Ambon City using the multiple linear regression method. Primary data was collected through a survey of 300 households in Ambon City, with the dependent variable being the monthly purchase quantity of curly chilies, while the independent variables include the price of curly chilies, household income, and the number of dependents. The analysis results show that the price of curly chilies has a significant negative effect on demand, with an increase in price leading to a decrease in purchase quantity. Additionally, household income and the number of dependents also have a significant impact, where an increase in income and the number of dependents boosts demand. These results indicate the existence of complex interactions between these factors in shaping the demand for curly chilies in Ambon City, which need to be considered in policy planning and marketing strategies to maintain market stability and meet consumer needs.

ANALISIS PENGARUH INTERMEDIASI DAN INKLUSI KEUANGAN TERHADAP STABILITAS SISTEM KEUANGAN DI INDONESIA

This study aims to determine how intermediation and financial inclusion affect financial system stability. Financial system stability is an important issue for the country's economy. In this case, financial inclusion and the role of intermediation have emerged as important components that can affect stability. The method used in this study is multiple linear regression method to see how third party funds, lending, number of accounts and number of ATMs affect financial system stability. Based on the findings in this study that intermediation consisting of third party fund variables has a significant negative effect on financial system stability and credit variables have a significant positive effect on financial system stability as proxied by the financial system stability index, meaning that credit that is not accompanied by proper supervision and regulation will potentially cause instability in the financial system and financial inclusion consisting of variables number of accounts and number of ATMs has a significant negative effect on financial system stability as proxied by the financial system stability index.

Drug design of new anti-EBOV inhibitors: QSAR, homology modeling, molecular docking and molecular dynamics studies

Ebola virus disease is a deadly pathogenic disease with a fatality rate of 25–90 % as recorded in previous outbreaks. The Ebola Virus glycoprotein (EBOV-GP) plays a crucial role in the entry of viruses into human cells, making it an interesting target for therapeutic discovery. Therefore, inhibiting this protein can directly limit the virus replication and disease progression at an early stage of infection. The present study focuses on the design of novel potent EBOV-GP inhibitors using multiple computational techniques. In this context, two QSAR models were built from a set of 86 amodiaquine derivatives as anti-EBOV-GP using Monte Carlo and genetic algorithm multiple linear regression methods. Both models confirmed their predictive performance with satisfactory statistical parameters of the validation (R2 = 0.9129; Q2 = 0.8848 for the CORAL model and R2 = 0.8848; Q2 = 0.8148 for the GA-MLR model). From the outputs of the CORAL model, the structural fragments responsible for increasing and decreasing the inhibition activity were extracted and interpreted. This molecular information was used to design 26 new potentially safe and active candidate drugs. Molecular docking and dynamics simulations have affirmed the efficacy of the designed compounds. Specifically, compounds D2 (pIC50_coral = 7.12; pIC50_GA-MLR = 7.07), D3 (pIC50_coral = 7.83; pIC50_GA-MLR = 7.10), and D5 (pIC50_coral = 7.26; pIC50_GA-MLR = 7.55) displayed notable predicted inhibitory activity, according to both models. These compounds also exhibited conformational and structural stability, as well as a favorable binding profile. Furthermore, these potential drug candidates were found to be non-toxicity and have acceptable pharmacological properties.

THE EFFECT OF ONLINE SALES STRATEGY, SERVICE QUALITY, AND PRICE PERCEPTION ON CUSTOMER LOYALTY AT KUKUME BEAUTY

This research aims to investigate the influence of online sales strategies, service quality, and price perceptions on customer loyalty at Kukume Beauty. The research was conducted through a survey of 300 customers randomly selected from the Kukume Beauty database. Data was collected using a questionnaire consisting of questions related to online sales strategies, service quality, price perceptions, and level of customer loyalty. Data analysis was carried out using the multiple regression method. The research results show that online sales strategies have a significant positive influence on customer loyalty. Likewise with service quality, which also significantly influences customer loyalty. Apart from that, price perception also plays a role in forming customer loyalty, although its influence is not as big as online sales strategies and service quality.

The Effect of Regional Financial Characteristics and Transparency on Corruption Potential: Study on Regency / City Governments in Indonesia in 2020-2022

This research aims to provide more in-depth knowledge regarding the influence of regional financial characteristics and transparency on the potential for corruption in regional government. This research uses district/city governments in Indonesia in 2020-2022 as research objects, using 250 district/city governments that meet the predetermined sample criteria and an observation period of 3 years so that the observation data amounts to 750. The research data is in the form of secondary data taken from the Softcopy Attachment of the BPK Semester I Examination Results Summary, Regional Government Financial Reports, and the official website of each district/city government. The analysis method uses SPSS version 25 with multiple linear regression methods. The results of this research conclude that employee expenditure and regional financial independence have a negative effect on the potential for corruption in district/city governments. Capital expenditure has a positive effect on the potential for corruption in district/city governments. Meanwhile, transparency has no effect on the potential for corruption in district/city governments.

EFFECT OF LIQUIDITY AND PROFITABILITY ON SHARE PRICES (STUDY ON CONSTRUCTION COMPANIES LISTED ON THE INDONESIAN STOCK EXCHANGE)

This study aims to analyze the effect of liquidity and profitability on share prices in construction sub sector companies listed on the Indonesia Stock Exchange (BEI) for the 2019-2022 period. Liquidity is measured by the ratio of current assets to current liabilities, while profitability is measured by net profit. Data was collected from company financial reports and analyzed using the multiple linear regression method. The research results show that liquidity has a positive and significant influence on share prices, which shows that the higher a company's liquidity, the higher its ability to fulfill its operational obligations. Apart from that, profitability also has a positive and significant influence on share prices, indicating that the company's success in generating profits has an impact on increasing demand for shares and increasing share prices. Apart from that, together, liquidity and profitability also have a significant effect on share prices. This research contributes to the understanding of the factors that influence share prices in the context of construction companies.

Pengaruh Kualitas Produk dan Promosi Penjualan Terhadap Keputusan Pembelian pada Nurza Brownies

This study aims to determine the effect of product quality and sales promotion on consumer purchasing decisions at Nurza Brownies Store in Medan. The number of samples taken in this study were 50 consumers. The data collection method in this study used a questionnaire to 50 consumers of the Nurza Brownies shop in Medan. The data analysis method used is the Validity, Reliability and Multiple Linear Regression method. The results of the partial test analysis show that product quality and sales promotion have a significant effect on consumer purchasing decisions. Furthermore, the results of simultaneous testing show that the variables of product quality and sales promotion have a significant effect on consumer purchasing decisions. The Adjusted R Square value is 0.771 or 77.1%. This means that 77.1% of consumer purchasing decisions are influenced by the two independent variables, while the remaining 22.9% of decisions are influenced by other variables not examined in this study.

Regression Analysis Data for E-Sport Athletes Prediction using OSEMN Framework

In the fast-growing E-Sports industry, athlete performance is the key to achieving success and winning. Therefore, analyzing the factors that contribute to the performance of E-Sports athletes is essential in order to optimize their performance in competition. This study aims to analyze the relationship between age, number of training hours, and experience playing in competition with rank, kill death ratio (KDA), and the number of wins of E-Sports athletes using the OSEMN approach (Obtain, Scrub, Explore, Model, Interpret, and Communicate). The data was obtained from 300 professional or non-professional E- Sports athletes, over the past three years who were involved in various competitions. Independent variables included age, number of training hours, and experience playing in competitions, while the dependent variables included rank, KDA, and number of wins. Data was collected, processed and explored and then analyzed using multiple linear regression methods. This study succeeded in applying the regression analysis method using the OSEMN framework, identifying relevant variables, and developing effective data collection and processing methods. This model has the potential to provide accurate predictions of E- Sport athlete performance data. However, it is still important to consider other factors such as business context, comparison with other models, and cross- validation to confirm the reliability of the prediction results.

Analysis of the Determining Factors of Generation Z's Interest in Working in the Agricultural Sector In Bima Regency

This research is motivated by the phenomenon of the high interest of generation Z in Bima Regency in choosing to work in the agricultural sector. This research aims to analyze the influence of various factors, such as family economic conditions, environment, personality, motivation, and farming experience, on Generation Z's interest in choosing to work in the agricultural sector in the Bima Regency area. The type of research used is quantitative-descriptive. The population is generation Z, aged 15–24 years, who work as farmers or in the agricultural sector in six sub-districts in Bima Regency, namely Lambu, Monta, Wera, Langgudu, Belo, and Sape, with a total sample of 322 respondents. Primary data collection was carried out through interviews, observation, and documentation using questionnaire instruments and Google Forms. The data analysis was carried out using the multiple linear regression method. The results of the analysis show that partially family economic factors, environment, personality, motivation, and farming experience have a positive and significant effect on generation Z's interest in working in the agricultural sector in Bima Regency. Meanwhile, simultaneously, family economic variables, environment, personality, motivation, and farming experience have a positive and significant effect on generation Z's interest in working in the agricultural sector in Bima Regency.

Middle School Teacher Self-Efficacy in the Implementation of the Learning Process in Indonesia

In the school environment, all teachers have a good level of teacher efficacy. However, in reality, many teachers still find low levels of efficacy. This has an impact on students' knowledge, understanding, and achievement in the school environment. This is urgent to be researched because there are similarities between theory, hope, and reality. So the research aims to analyze the factors that influence teachers' self-effectiveness in implementing Environmental Education in schools. The method in this research is quantitative research with regression. The subjects consisted of 300 teachers from private secondary schools and state secondary schools spread across Indonesia. Data collection techniques using instruments. Instruments developed from indicators and measured based on a Likert scale. Data analysis techniques using Statistics version 25.0 with descriptive (mean, standard deviation, frequency, and percentage) and inferential statistics using the Multiple Linear Regression method. The results and research findings show that the level of teacher self-efficacy in implementing Environmental Education in schools is moderate. It was found that the factors that influence teacher self-efficacy in the implementation of education are teacher awareness of the environment and teacher perceptions of the principal's learning leadership.

Semi-empirical model for Henry’s law constant of noble gases in molten salts

Henry’s law constant, which describes the proportionality of dissolved gas to partial pressure of free gas in liquid–gas equilibrium systems, can also be applied to mass transport applications. In this work, we investigated an approach for determining the solubility of noble gases in a molten salt liquid utilizing the equilibrium concept of Henry’s gas constant. Henry’s gas constant is described as a mathematical function dependent on the van der Waals radius of the noble gas and the temperature of the molten salt. The alteration in Gibbs free energy encompasses contributions from both surface and volume energies. Enthalpy and entropy are deduced from these surface and volume energies in the Gibbs free energy formulation. A comparative analysis was conducted between the conventional method and our proposed model. Moreover, useful chemical properties can be determined from examination of surface and volume energies. Our findings provide an accurate and general theory of Gibbs free energy that can be validated experimentally based on the model proposed herein. This work unifies the prediction of Henry gas constant and subsequently the entropy and enthalpy calculation for noble gases in a molten salt solution to a single functional form using van der Waals radius of the gas and temperature of the system. This functional form is then used to perform a multiple regression method to find two parameters corresponding to the surface energy and volume energy. These two parameters are consistent between all combinations of noble gas and molten salt.