Multiple Regression Techniques Research Articles

An Exploratory Study on determinants of Investment Behaviour of Venture Capitalist in Bangalore

This research has explored the nature of investment strategies by venture capitalists in Bangalore, mainly in terms of deal generation, geographic proximity, monitoring of deals, exit strategy, and evaluation of deals. It is basically to determine which are the prominent factors influencing their investment decisions along with their priorities. The adopted methodology for conducting this research work is exploratory, based on a sample population of 100 venture capitalists identified through convenience sampling. A structured questionnaire was used to collect data, and the responses were analysed on a five-point Likert scale. Multiple regression techniques were applied in SPSS to test the relationships among variables. The results indicate that deal evaluation and exit vehicles are the most important factors, whereas geographic proximity exerts the least influence, thus contesting conventional assumptions. Structured mechanisms of evaluation and robust exit strategies are the only means towards investment success. These findings have theoretical contributions to investment decision-making literature and practical implications toward venture capitalists, but a sample size and focus on a particular region bring about the need to carry out further research to make the generalizability better. Keywords: Venture capitalist, Deal Generation, Multiple Regression, SPSS

THE INFLUENCE OF FRUGALITY ON SUBJECTIVE WELL-BEING WITH RELIGIOSITY AS A MODERATOR VARIABLE: A STUDY ON EARLY ADULT ONLINE SHOPPERS

This study aims to examine the influence of frugality on subjective well-being (SWB) in early adult online shoppers, with religiosity as a moderator variable. The study participants consisted of men and women aged 18-40 years who are online shoppers in Indonesia. The hypothesis test was carried out using the Multiple Linear Regression technique, and the results of this study showed that the results showed that a positive relationship was found between the three variables. The results of the study also showed that religiousosis positively moderated the relationship between the variables ( = 0.073, p 0.10). In addition, it was found that the relationship was negatively correlated with the two variables (P 0.05). In conclusion, it is suggested that online shoppers can implement a lifestyle of simplicity by making a list of shopping priorities, comparing prices between platforms, and considering the use value of products before making purchases.

Understanding How Sensory and Digital Marketing Influence Visitors’ Emotional Attachment: A Case Study of Doudo Educational Tourism Village

This study aims to analyze the influence of sensory marketing and digital marketing on visitors' emotional attachment at Doudo Educational Tourism Village. Sensory marketing refers to strategies that activate various senses to enhance the consumer experience. In contrast, digital marketing includes using digital platforms to promote products through Doudo Educational Tourism Village tour packages. Visitors' emotional attachment is essential to their satisfaction and loyalty to tourist destinations. The method used in this research is a quantitative approach with a survey as a data collection tool. The respondents of this study were visitors to Doudo Educational Tourism Village, who were taken using a purposive sampling technique. The collected data were analyzed using multiple linear regression techniques to test the relationship between sensory marketing, digital marketing, and emotional attachment variables. The research results show that these two variables, sensory marketing, and digital marketing, significantly influence visitors' emotional attachment. Sensory marketing strongly impacts visitors' feelings towards tourist villages, while digital marketing contributes to creating awareness and strengthening emotional attachment through social media and websites. This research indicates that combining sensory and digital marketing can enhance visitors' experience, strengthen their emotional attachment, and increase their loyalty to Doudo Educational Tourism Village.

IMPROVING EMPLOYEE PERFORMANCE THROUGH LEADERSHIP STYLE AND WORK DISCIPLINE

Research on human resource management is highly intriguing, and employee emotional engagement can create a favorable environment for job happiness and productivity. The purpose of this study is to ascertain how leadership style and work discipline and impact employee performance. SPSS version 20 and a questionnaire for 102 respondents are used in this study. This study uses multiple linear regression techniques along with statistical analysis and quantitative research. Multiple linear regression analysis results for leadership style (X1) of 2.174 with a significance value of 0.032 and work discipline (X2) of 6.002 with a significance value of 0.000 were produced by researchers based on SPSS data analysis. The results of the simultaneous test (F test) showed a significance value of 0.000 and a score of 36.233. The conclusion of this study, the first hypothesis is that leadership style has a significant effect on employee performance, the second hypothesis is that work discipline has a significant effect on employee performance and the last hypothesis is that the two variables (leadership style, work discipline,) have a simultaneous influence on employee performance.

The effect of corporate governance, financial distress, tax incentives, and firm size on accounting conservatism in the Indonesia banking sectors

The objective of this study is to examine the effect of corporate governance, financial distress, tax incentives, and firm size on accounting conservatism in the banking sector in Indonesia. Corporate governance mechanisms in this study are represented by managerial ownership and institutional ownership, reflecting the role of governance structures in influencing accounting practices. The study analyzes a total of 75 data units derived from 25 banking companies listed on the Indonesia Stock Exchange (BEI) during the 2021-2023 period, selected through purposive sampling. This research employs a quantitative research method and relies on secondary data sources, such as annual reports and company financial statements. The analysis technique used is multiple linear regression technique using Stata version 13. The results of the study prove that there is a negative significant effect of financial distress and tax incentives, but there is no significant effect of managerial ownership, institutional ownership, bank size on accounting conservatism.

Hybridizing evolutionary algorithms and multiple non-linear regression technique for stream temperature modeling

Abstract The present study hybridizes the new-generation evolutionary algorithms and the nonlinear regression technique for stream temperature modeling and compares this approach with conventional gray and black box approaches under natural flow conditions, providing a comprehensive assessment. The nonlinear equation for water temperature modeling was optimized using biogeography-based optimization (BBO) and invasive weed optimization (IWO), simulated annealing algorithm (SA) and particle swarm optimization (PSO). Two black box approaches, a feedforward neural network (FNN) and a long short-term memory (LSTM) network, were also employed for comparison. Additionally, an adaptive neuro-fuzzy inference system (ANFIS) served as a gray box model for river thermal regimes. The models were evaluated based on accuracy, complexity, generality and interpretability. Performance metrics, such as the Nash–Sutcliffe efficiency (NSE), showed that the LSTM model achieved the highest accuracy (NSE = 0.96) but required significant computational resources. In contrast, evolutionary algorithm-based models offered acceptable performance while reducing the computational complexities of LSTM, with all models achieving NSE values above 0.5. Considering interpretability, accuracy and complexity, evolutionary-based nonlinear models are recommended for general applications, such as assessing thermal river habitats. For tasks requiring very high accuracy, the LSTM model is preferred, while ANFIS provides a balanced trade-off between accuracy and interpretability, making it suitable for engineers and ecologists. While all models demonstrate similar generality, this model is developed for a specific location. For other locations, independent models with a similar architecture would need to be developed. Ultimately, the choice of model depends on specific objectives and available resources.

TOBACCO PRODUCTION AND ITS SOCIO-ECONOMIC IMPACT ON FARM HOUSEHOLDS IN BANGLADESH: A REGIONAL STUDY

Tobacco cultivation has increased in Bangladesh over the past few decades, raising significant concerns due to its economic, environmental, and health impacts on farm households. This study explored the socioeconomic aspects of farmers' lives associated with tobacco production, calculated its costs and benefits, identified determinants of net revenue, and suggested potential improvements for related issues. Primary data were collected using a random sampling technique involving interviews with 420 tobacco farmers through structured questionnaires and face-to-face interactions. The financial analysis of tobacco production in Bangladesh employed cost-benefit and multiple linear regression techniques, while the economic analysis utilized descriptive and inferential statistics. The descriptive statistics reveal that net returns average TK 30,466, with significant variation in production costs, particularly in land use, labor, and processing, highlighting the economic complexities of tobacco farming. The results of the regression analysis show that land use and labor costs significantly impact net returns in tobacco farming. Land costs reduce profits, while labor and processing costs increase them, explaining 76% of the variation in net returns. The analysis indicates a net return of TK 32,050 per bigha, with a profit of TK 71.22 per kilogram of tobacco produced. A majority of respondents believe that tobacco farming reduces soil fertility (49.29%) and requires significant fertilizer (76.19%), while a significant number view it as a lucrative opportunity (85.71%) supported by company encouragement (79.37%). Furthermore, 75.47% perceive tobacco farming as a health risk, with nearly half acknowledging its negative environmental impacts (49.29%). Although tobacco production offers higher profitability, it poses severe health and environmental risks. To mitigate these effects, tobacco companies should pay attention to this fact and provide healthcare subsidies to farmers so that they can contribute positively to the national economy. Thus, farmers will benefit, and our country's economy will improve with production as well.

The Relationship between Epistemological Beliefs and Assessment Conceptions among Pre-Service Teachers

Abstract This study examined the relationship between pre-service teachers’ epistemological views and their assessment conceptions, as well as how epistemological beliefs and their components contribute to the variation in their assessment conceptions. Utilizing a quantitative descriptive correlational research design, data were collected from 197 pre-service teachers at Fitche College of Teacher Education in Ethiopia through the Epistemological Belief Questionnaire and Assessment Conception Questionnaire. The analysis involved correlation and multiple regression techniques. The findings revealed a significant association between epistemological beliefs and assessment conceptions with a strong correlation in the ‘omniscient authority’ and ‘simple knowledge’ sub-dimensions. However, the ‘quick learning’ sub-dimension exhibited a weaker relationship. Furthermore, pre-service teachers showed a high level of agreement with the concepts of improvement and school accountability, whereas agreement with the irrelevance of assessment was moderate, yet students’ accountability was not significantly related to their epistemological beliefs. Generally, the findings of the study uncovered a meaningful correlation between pre-service teachers’ epistemological beliefs and their conceptions of assessment. This study’s findings could highlight the need to incorporate progressive assessment concepts and advanced epistemological beliefs into educational programs such as teacher education to improve pre-service teachers’ professional beliefs and competencies that would have cascaded effects on the school teaching-learning.

The Influence of Learning Facilities and Class Management on Learning Effectiveness

This study aimed to analyze the effect of learning facilities and classroom management on learning effectiveness at SD Negeri in Sematang Borang District, Palembang. The type of research method used is the quantitative research method with data collection techniques through questionnaires, observation, and documentation. The population was 119 teachers of SD Negeri in Sematang District, Palembang and the sample size was 54 teachers. The instrument test was carried out outside the sample of 30 teachers who were taken randomly from the population of SD Negeri in Sematang District, Palembang. Data were analyzed using simple linear regression and multiple linear regression techniques. Based on the results of the data analysis showed that in the test of the influence of learning facilities variables on the learning effectiveness variable through the t-test obtained acount value of 5.254 greater than the t-table 2.007, it was concluded that there was an influence of learning facilities on the learning effectiveness of SD Negeri in Sematang Borang District, Palembang, as well as the test of the influence of classroom management variables on the learning effectiveness variable obtained a t-count value of 5.005 greater than the t-table value 2.007, it was concluded that there was an influence of classroom management on the learning effectiveness of SD Negeri in Sematang Borang District, Palembang. The test continues by looking at the effect of learning facilities variables and classroom management variables together on the learning effectiveness variable obtained tcount value 18.605 greater F-table 3.168 at a significant level of 5% so it is concluded that there is an effect of learning facilities and classroom management together on the effectiveness of learning in SD Negeri in Sematang Borang District, Palembang.

Examining the Relationship Between School Engagement and Learning Responsibility in Middle School Students

The purpose of this study is to examine the relationship between middle school students' levels of school engagement and their learning responsibilities. The study was conducted using the relational survey model, which is one of the quantitative research models. The sample of the study consisted of 353 middle school students selected through simple random sampling, one of the non-probability sampling methods. The data collection tools used in the study were a personal information form, School Engagement Scale, and Learning Responsibility Scale. Independent samples t-test, ANOVA, correlation, and multiple linear regression techniques were used in the analysis of the collected data. In the study, it was found that both school engagement and learning responsibility levels of female students were significantly higher. When examining students' learning responsibility, it was found that seventh-grade students and students attending public schools had significantly higher levels of learning responsibility than other students. When examining the predictive power of school engagement on learning responsibility, it was found that the school engagement predicted learning responsibility by 64.9%.

Groundwater Quality Assessment and Modeling Using Water Quality Index and Mathematical Models: Case Study of Bam Province, Burkina Faso

In light of groundwater's fundamental role in providing drinking water to populations in the Sahel, its management and monitoring are vital for predicting and mitigating future crises. The goal of this study is to assess the groundwater quality in Bam province using the Water Quality Index (WQI), and to predict these indices through the application of Artificial Neural Networks (ANN) and traditional Multiple Linear Regression (MLR) techniques. In this context, a variety of physicochemical parameters such as Total Hardness (TH), pH, Electrical Conductivity (EC), calcium, magnesium, sodium, potassium, ammonium, bicarbonate, chloride, sulphate, nitrite, nitrate, phosphorus, and fluoride were collected from 154 boreholes, analysed, and used to calculate the WQIs. These parameters were employed as inputs, while the WQIs served as the output target for the models. The data were arranged in ascending order based on the indices, with 70% of the data reserved for training the models and 30% for testing. The groundwater quality in the study area, characterized by its geological heterogeneity and discontinuous fractures affecting groundwater flow, is predominantly excellent, with 95.45% of the samples having WQIs below 50. The remaining 4.55% is split between good (3.90%) and poor (0.65%) quality, with WQIs ranging from 50–100 and 100–200, respectively. In terms of predictive modeling, the ANN method provided the most accurate results, with R² (coefficient of correlation) = 0.99, RMSE (Root Mean Scare Error) = 0.0037, and MAE (Mean Absolute Error) = 0.0032 for the training set, and R² = 0.96, RMSE = 4.46, and MAE = 3.27 for the testing set. By comparison, the traditional method showed lower accuracy with R² = 0.61, RMSE = 2.71, MAE = 2.02 for the training set, and R² = 0.93, RMSE = 7.97, MAE = 6.32 for the testing set. The slight decrease in model accuracy during the testing phase is attributed to the challenge of modeling strong indices with weaker ones, as well as the geological heterogeneity and discontinuities that complicate groundwater quality prediction. However, this does not affect the model’s ability to predict extreme situations, such as water pollution events.

Analysis of Internal Controls, Individual Morality and Information Asymmetry Against Fraud Tendencies At PT. Ambassador Mayanksari in Surabaya

This study aims to examine the influence of internal control, individual morality, and information asymmetry on the tendency of fraud in PT. Ambassador Mayanksari located in Surabaya. Fraud is a serious problem because it can harm a company both financially and reputationally. In this study, a quantitative approach was used with a survey method involving 57 respondents, who were employees of PT. Ambassador Mayanksari. The collected data was analyzed using multiple linear regression techniques to identify the relationship between independent and dependent variables. The findings show that all three variables—internal control, individual morality, and information asymmetry—together exert a significant influence on fraud propensity. Separately, internal control has been proven to have a positive influence on fraud tendencies. The same is true for individual morality and information asymmetry, both of which have a significant impact on the occurrence of fraud. This study suggests that the implementation of good internal control, the improvement of individual morality, and the reduction of information asymmetry can play an important role in reducing the potential for fraud in companies.

PENGARUH KEMUDAHAN PENGGUNAAN, KEAMANAN DAN CITRA MEREK TERHADAP KEPUTUSAN PEMBELIAN PADA GRAB DI KOTA BATAM

This research aims to analyze the influence of ease of use, security and brand image on purchasing decisions for Grab services in Batam City. This type of research is descriptive with a quantitative approach, with the population using the Grab application in Batam City in 2024 which cannot be known with certainty. The sampling technique used the Lameshow formula to produce 100 respondents drawn using purposive sampling. Data analysis was carried out using multiple linear regression techniques to carry out data quality tests, classical assumption tests, influence tests, and hypothesis tests. This research found that ease of use, security, and brand image have a positive and significant influence on purchasing decisions. The calculated t value for ease of use is 3.122 with a significance of 0.002, for security it is 4.991 with a significance of 0.000, and for brand image it is 6.672 with a significance of 0.000, all of which exceed the t table value of 1.984 and are below the significance threshold of 0.05, supporting hypothesis H1 , H2, and H3. In addition, simultaneous analysis shows that the calculated f value of 102.955 exceeds the f table value of 2.70 with a significance of 0.000, supporting Ha's hypothesis that ease of use, security and brand image simultaneously have a positive and significant effect on purchasing decisions

Offering security or incentives: The relationship among sector type, organizational support, and turnover intentions of social workers in China

Abstract High turnover rates are a global issue, prompting discussions on stabilizing social work employment, especially in China, where the Ministry of Social Work is being established. This study examined the relationship between the support received by social workers and their intention to leave under these two modes of employment, public-sector employment and third-sector employment. The research sample consisted of 6,776 social workers from the 2019 China Longitudinal Study of Social Work. Multiple regression techniques and mediation analysis were used to analyse the data. Our findings indicate that agency social workers employed in the public sector had lower turnover intentions, whereas those employed in the third sector were less stable. Social workers employed in the public sector might receive more support from social networks and social security benefits, which reduces turnover intentions under the influence of social reputation and career stability. In contrast, social workers employed in the public sector possess lower work incentives and autonomy, and their lack of collective psychological ownership could increase turnover intentions. Future development of the social work workforce should focus on combining stable employment with incentive reforms, such as strengthening autonomy, to optimize the career development environment for social workers while promoting stability.

Harmony at Home and School Makes Them Superior in Learning Natural and Social Sciences

In the era of globalization and rapid technological development, the need to produce students who excel in natural and social sciences is becoming increasingly important. Many students still need help achieving optimal academic achievement, which is caused by the lack of holistic support from the home and school environment. Research shows that harmony between the home and school environment plays an important role in shaping students' character, motivation, and positive attitudes towards learning. When parents and educators work together and provide consistent support, students are more likely to develop in natural and social sciences. This study aims to explore the influence of learning interest and learning environment on the learning outcomes of fourth-grade students in science. This study uses a quantitative method with an ex post facto design. The study population was fourth-grade students, with a sample of 66 students selected randomly. Interviews, questionnaires, and recording of learning objectives were used to collect data. Data analysis was carried out using descriptive, simple, and multiple regression techniques. The results showed that learning interest and learning environment significantly influenced learning outcomes in science. Learning interest, which includes awareness, attention, willingness, and pleasure in learning, positively contributes to academic achievement. The learning environment, supported by parental understanding, teaching methods, home conditions, economic situation, cultural background, and relationships between family members, also plays an important role. These findings have practical implications, highlighting the importance of collaboration between teachers and parents in creating a conducive learning environment.

ADDRESSING THE NECESSITY AND CONTRIBUTION OF URBAN GREEN SPACE IN METROPOLITAN CITIES

The role and contribution of urban green space have become crucial. In addition to serving as a space to maintain environmental quality and improve people's living conditions, urban green space also serves a purpose in the transformation of an urban region. This study aims to examine what factors influence the increase in the amount of UGS in Bekasi Municipality as a Metropolitan city. The data were collected from Spatial Planning Office and Central Bureau of Statistics in 2013- 2022. Using Multiple Regression techniques, this research explores the association of variables in terms of the necessity for UGS. The result of this study shows that the population have a positive correlation but no significant impact on the total area of UGS. The total area of residential has a positive and significant impact on UGS, while the growth of the real estate sector has a negative impact and is not significant on the total area of UGS in Bekasi City. With the increasingly limited land area, the government of Bekasi Municipality should pay attention to the availability of existing land so that it can be used for urban green areas.

THE INFLUENCE OF POLICY AND BUDGET ON THE PERFORMANCE OF LIBRARIANS MEDIATED BY QUALITY OF HUMAN RESOURCES

This research aims to analyze the influence of policies and budgets on the quality of human resources (HR) and their impact on the performance of librarians at the East Luwu Regency Regional Public Library. The phenomenon behind this research is that there is still inequality in budget allocation and policies that are not optimal in supporting improving the quality of human resources in libraries, which ultimately has an impact on the performance of librarians. Comprehensive policies and adequate budget allocations are necessary to ensure that librarians have the skills and knowledge necessary to provide optimal services. This research uses a quantitative approach with survey methods. Data was collected through questionnaires distributed to 85 librarians at the East Luwu Regency Regional Public Library. Data analysis was carried out using multiple regression techniques to examine the influence of policies and budgets on the quality of human resources and path analysis to evaluate their impact on librarian performance. The research results show that policy has a positive and significant influence on the quality of human resources. The budget variable has a positive and significant influence on the quality of human resources but does not have a significant influence on the performance of librarians. Human resource quality is able to mediate a significant relationship between policy and budget variables on librarian performance. To improve the performance of librarians, library managers and policy makers must focus on developing supportive policies, adequate budget allocation, and improving the quality of human resources.

What factors affect acceptance attitudes towards vaccination amidst a major public health crisis? A national cross-sectional study

ObjectivesVaccine hesitancy persists as a significant global health concern, especially during public health crises. This study aimed to explore factors influencing vaccination acceptance during a major public health crisis and...

Dynamics of Firm Size: Moderation Analysis of Profitability and Capital Structure in Assessing Firm Value

Investors often have difficulty making careful investment policies, because they must first evaluate the company's prospects for future growth. This causal research is intended to show the extent to which profitability and capital structure can strengthen firm value through moderating firm size variables in automotive and component companies in the Indonesian capital market in 2018-2022. This study involved 12 companies determined based on a purposive sampling approach. The information for this study stems from the financial reports of the sample entities which were collected by browsing the website www.idx.co.id using a documentation approach. Furthermore, multiple linear regression techniques were applied in analyzing research data. Research reveals that firm value can be influenced by profitability and capital structure positively and significantly, while firm size has the opposite impact. However, firm size does not affect the relationship between capital structure and firm value; rather, it influences the relationship between profitability and firm value. Increasing profitability and improving capital structure are necessary to follow up on the research's composition and ensure that firm value keeps rising.

The Influence of Financial Performance and Capital Structure on Tax Avoidance Strategies

This research seeks to examine how profitability, capital intensity, and sales growth impact tax avoidance practices. Employing a quantitative methodology, the study centres on companies within the food and beverage subsector that are publicly traded on the Indonesia Stock Exchange (IDX) during 2020 to 2023. The sample consisted of 76 companies, which were selected by the purposive sampling method over four years, covering 19 companies. The data was analysed with SPSS version 29 software through a descriptive statistical approach, classical assumption testing, and hypothesis testing. The multiple linear regression technique is applied to the secondary data collected. The results of the analysis revealed that profitability (ROA), had a significant impact on tax avoidance with a significance level of less than 0.05. In contrast, the variables of sales growth and capital intensity showed insignificant results (significance value of more than 0.05), indicating that they did not have an impact on tax avoidance individually. However, simultaneously, profitability, capital intensity, and sales growth together have a significant impact on tax avoidance, with a significance value below 0.05.