Multiple Linear Regression Techniques Research Articles

THE INFLUENCE OF THE ATTRACTIVENESS OF PROMOTIONS AND PRODUCT DESIGN ON THE DECISION TO PURCHASE THE HONDA ALL NEW BRIO SATYA

This research aims to analyze the influence of promotional attractiveness and product design on consumer purchasing decisions. The influence of these factors on consumer behavior has become a major concern in modern marketing studies, as they have a significant role in shaping purchasing preferences. In this context, a quantitative approach is used to collect data from respondents consisting of active consumers in various industrial sectors. This research draws samples from a consumer population representing a variety of demographic backgrounds and product preferences. Survey methods are used to collect primary data related to consumer perceptions about the attractiveness of promotions and product designs as well as their purchasing decisions. Data analysis was carried out using multiple linear regression techniques to identify the relationship between the variables studied. The analysis tool uses SPSS 26. The research results show that both promotional appeal and product design have a significant influence on consumer purchasing decisions. These findings provide valuable insights for marketing practitioners to design effective strategies to increase sales and consumer satisfaction.

Hectareage Prediction Models for Paddy Crop of Middle Gujarat

The present investigation was undertaken with a view to identify the models for predicting the hectareage of paddy crop of the middle Gujarat region. The investigation was carried out on the basis of secondary data covering the period of nineteen years, (1998-99 to 2016-17). The District level data relating to hectareage, production, productivity and farm harvest prices of paddy were obtained from the published and compiled information by Directorate of Agriculture, Gujarat State, Gandhinagar. The linear multiple regression technique (basically Nerlovian type) was employed. The eight single equation and four simultaneous equation (SE) models were tried for paddy crop, the following models were selected on the basis of the values of adjusted coefficient of multiple determination. SE model-III for paddy is given below.HEPD = 40960.532**** - 10.414*** HEBJ + 0.784 HEMZ - 1.187**** HEPDL + 3.720*** HEBJL + 5.588**** EYPD + 0.866 EYBJ - 6.205*** EYMZ- 6.833**** EPPD + 1.502 EPBJ (R2= 0.946)HEBJ = 3261.298 - 0.061 HEPD + 0.108 HEMZ - 0.093 HEPDL + 0.337 HEBJL + 0.441 EYPD + 0.220 EYBJ - 0.619 EYMZ - 0.594 EPPD + 0.227EPBJ (R2= 0.960)HEMZ = 1816.343 + 0.028 HEPD + 0.147 HEBJ + 0.220 HEBJL + 0.649 HEMZL - 0.120 EYPD - 0.176 EYBJ - 0.092 EYMZ - 0.226 EPMZ - 0.106EPBJ (R2= 0.850)*, **, ***, **** Significant at the 20, 10, 5, 1 percent level of significance, respectivelyFor the selected crops, SE model was recommended for prediction of the current hectareage on the basis of the adjusted coefficient of multiple determination ( R 2). For Paddy hectareage the main affecting factors viz., bajra hectareage, lagged hectareage of paddy, expected yield of maize and expected price of paddy. Expected yield and expected price of paddy were determining factors of bajra hectareage.

Influence of Big Five Personality Traits on Self-Disclosure in Early Adulthood Instagram Social Media Users

Self-disclosure is the ability of individuals to voluntarily disclose information about themselves to others that is personal. This will affect both him and others, if done excessively. From the influence of self-disclosure factors based on personality type can be seen and focus on the personality of the big five personality in Makassar State University students. This study involved students of Makassar State University (N=381). The sampling technique used is cluster random sampling. The measuring instruments used are the Big Five Inventory scale (BFI) adaptation scale from Ramdhani (2012) and the self-disclosure scale from Tamaraya research (2020). Data analysis used in this study is a multiple linear regression technique. The results showed that there is not significant influence with the four big five personality, namely, Openess to experience, conscientiousness, extraversion, and agreeableness to self-disclosure. While personality neuroticism has a significant effect on self-disclosure. This research has implications in the field of Social Psychology and is useful for students to be able to determine the value of attitudes, emotions, and values that affect individuals on personality that are carried out towards self-disclosure.

Assessment of knowledge towards first aid skills of epilepsy among undergraduate health students in Riyadh province of Saudi Arabia: A cross-sectional study

BackgroundApplying proper first-aid measures to patients with seizure episodes plays a vital role in preventing the adverse consequences of seizures. Most previous data focused on teachers, healthcare providers and the general public. This study aimed to assess the knowledge of seizure first-aid measures among undergraduate health students. MethodsThis descriptive, cross-sectional study was conducted between May 16 and 31, 2023, with 493 undergraduate health students of Riyadh Province who answered online surveys. The data were collected using the descriptive information form. The chi-square (χ2) test was employed to compare knowledge of seizure first aid between demographic variables. The relationship between knowledge score and independent variables was evaluated using multiple linear regression technique. ResultsOnly 1.6 % of participants demonstrated good knowledge scores toward seizure first-aid measures. The skill most frequently reported was to remove all harmful objects from their vicinity and loosen the tight clothes around the neck during a seizure; 68.7 % of the participants correctly answered with agreed. Conversely, the skill that received the lowest knowledge score among participants was putting a piece object such as a cloth, wallet, or spoon between the teeth to prevent tongue biting during a seizure; only 37.3 % of the participants correctly answered with disagree. Moreover, participants in the advanced age group, medicine and fifth-year, were found to be significant predictors of knowledge and exhibited better knowledge scores toward seizure first aid measures than their peers (p < 0.001). Furthermore, lectures and books were identified (69.6 %) as the most common source of information about seizure first aid. ConclusionThe study concluded that most undergraduate health students demonstrated poor knowledge scores in delivering seizure first aid. This finding suggests that introducing epilepsy education from the first year in all health-related courses is crucial to improving overall awareness and skills in providing seizure first aid.

Prediction of acute toxicity for Chlorella vulgaris caused by tire wear particle-derived compounds using quantitative structure-activity relationship models

Tire wear particles (TWPs) enter aquatic ecosystems through various pathways, such as rainwater and urban runoff. Additives in TWPs can harm aquatic organisms in these ecosystems. Therefore, it is essential to investigate their toxicity to aquatic organisms. In our study, we initially recorded the median effective concentrations of 21 TWP-derived compounds on Chlorella vulgaris growth, ranging from 0.04 to 8.60 mg/L. Subsequently, through an extensive review of the literature, we incorporated 112 compounds with specific toxicity endpoints to construct the QSAR model using genetic algorithm and multiple linear regression techniques, followed by the construction of the consensus model and the quantitative read-across structure-activity relationship (q-RASAR) model. Meanwhile, we employed rigorous internal and external validation measures to assess the performance of the model. The results indicated that the developed q-RASAR model exhibited strong adaptation, robustness, and reliable prediction, with q-RASAR indicators of Q2LOO = 0.7673, R2tr = 0.8079, R2test = 0.8610, Q2Fn = 0.8285−0.8614, and CCCtest = 0.9222. Based on an external dataset containing 128 emerging TWP-derived compounds, the model's applicability domain coverage was 90.6 %. The q-RASAR model predicted that the structure of diphenylamine was associated with higher toxicity, possibly liked to the SpMax2_Bhm and LogBCF descriptors. The established model reliably provides prediction and fills a critical data gap. These findings highlight the potential risks posed by emerging TWP-derived compounds to aquatic organisms.

Influence of moderate-to-high intensity physical activity on depression levels: a study based on a health survey of Chinese university students

ObjectiveThe study aims to examine how moderate-to-vigorous physical activity (MVPA) affects the severity of depression symptoms among Chinese college students. Additionally, it seeks to analyze the mediating mechanisms involving self-rated health and general self-efficacy.MethodsThe study utilized data from the 2023 Chinese College Health Tracking Survey and employed multiple linear regression and structural equation modeling techniques to investigate the impacts of MVPA on depression levels and its underlying mediating mechanisms among college students. The primary cohort comprised 49,717 enrolled college students from 106 universities in China.ResultsA total of 41,620 valid questionnaires were collected (response rate: 83.7%), with females accounting for 58.6%. In the past month, approximately 30.2% of college students engaged in MVPA. Self-rated health (B = − 0.282, P < 0.001) and general self-efficacy (B = − 0.133, P < 0.001) significantly influenced college students’ depression scores. Even after controlling for other variables, participating in MVPA remained significantly associated with reduced depression scores (B = − 0.062, P = 0.002). The results of the structural equation model showed that MVPA not only directly decreased college students’ depression scores but also indirectly reduced the likelihood of depression occurrence by improving their physical health status and general self-efficacy.ConclusionThe lack of physical activity among Chinese college students is evident. Engaging in MVPA can reduce the likelihood of depression among college students. MVPA achieves this reduction by enhancing college students’ general self-efficacy and improving their physical health. The factors influencing depression levels among college students are multifaceted. For future interventions targeting college students’ mental health, comprehensive approaches that incorporate behavioral and psychological factors should be emphasized.

Assessment of Climate Change Impact on Reservoir Inflow

Abstract: Evaluating the effects of climate change is crucial in regions grappling with water scarcity. The Ujjani dam, a significant structure in Maharashtra, India, erected on the Bhima river in 1980, serves as a vital water source for the agricultural lands downstream in Solapur and Pune districts. Assessing climate change's impact involves analysing data from General Circulation Models (GCMs), which project climate parameters under various emission scenarios but often at a broader scale. Since hydrological models necessitate finer-scale climate data, a downscaling technique is employed to derive localized variables from GCM outputs. This study employs Multiple Linear Regression (MLR) and Artificial Neural Network (ANN) techniques for downscaling. By utilizing projected temperature and rainfall data, three distinct models are developed to predict reservoir inflow: multiple linear regression, artificial neural network, and wavelet neural network. The findings indicate significant alterations in rainfall distribution patterns, with a decline during the monsoon season and an increase post-monsoon

Topography influences diurnal and seasonal microclimate fluctuations in hilly terrain environments of coastal California.

Understanding the topographic basis for microclimatic variation remains fundamental to predicting the site level effects of warming air temperatures. Quantifying diurnal fluctuation and seasonal extremes in relation to topography offers insight into the potential relationship between site level conditions and changes in regional climate. The present study investigated an annual understory temperature regime for 50 sites distributed across a topographically diverse area (>12 km2) comprised of mixed evergreen-deciduous woodland vegetation typical of California coastal ranges. We investigated the effect of topography and tree cover on site-to-site variation in near-surface temperatures using a combination of multiple linear regression and multivariate techniques. Sites in topographically depressed areas (e.g., valley bottoms) exhibited larger seasonal and diurnal variation. Elevation (at 10 m resolution) was found to be the primary driver of daily and seasonal variations, in addition to hillslope position, canopy cover and northness. The elevation effect on seasonal mean temperatures was inverted, reflecting large-scale cold-air pooling in the study region, with elevated minimum and mean temperature at higher elevations. Additionally, several of our sites showed considerable buffering (dampened diurnal and seasonal temperature fluctuations) compared to average regional conditions measured at an on-site weather station. Results from this study help inform efforts to extrapolate temperature records across large landscapes and have the potential to improve our ecological understanding of fine-scale seasonal climate variation in coastal range environments.

Drilling Down for Answers: Unmasking the Impact of Oil and Natural Gas Activity on Crime Rates in Texas

This article delves into the impact of oil and natural gas (ONG) production on the incidence of Part I violent crimes in Texas. Texas holds a prominent position in the energy industry, contributing to 43% of the nation's crude oil production and 26% of its natural gas production (EIA, 2021). However, alongside ONG operations come significant societal changes, including a rise in various social issues, including criminal activities. While prior research has explored the consequences of ONG-related transformations on crime rates through perceptual and economic studies, there is a scarcity of studies that investigate the intricate relationship between ONG activities and crime patterns, particularly in the Texan context. To bridge this research gap, this study employs residual change scores and multiple linear regression techniques to scrutinize county-level shifts in ONG activity and Part I violent crime incidents during the period spanning 2009 to 2019 across Texas ONG-producing counties. The findings derived from this investigation unveil a noteworthy association between six dynamic ONG measures and the alteration in specific known Part I violent crimes. This study makes a noteworthy contribution to the existing body of knowledge concerning rural crime and boomtown dynamics as it stands as the inaugural examination utilizing residual change score analysis to determine whether ONG activity indeed contributes to any variations in known Part I violent crime rates. By scrutinizing the intricate connection between energy production and crime, this research aids in fostering a better understanding of the social implications of ONG activities in resource-rich regions, particularly within Texas.

CAREER DEVELOPMENT DAN WELFARE ALLOWANCES TERHADAP EMPLOYEE PERFORMANCE PADA KARYAWAN LEMBAGA AMIL ZAKAT

This study aims to explore and analyze the influence of career development and welfare benefits on employee performance at amil zakat institutions. The method used is a quantitative method that focuses on hypothesis testing. The sample used was 45 employees, using a random sampling technique. Data was collected by distributing questionnaires which were then processed using SPSS tools through multiple linear regression techniques. We consider validity and reliability to determine the reliability of the research statement items. Then, this study also considers classic assumptions such as normality, multicollinearity, and heteroscedasticity. After all that is fulfilled, then the hypothesis testing is carried out. The findings of this study prove that career development and welfare benefits have a significant positive effect on employee performance.

Analysis Of The Influence Of Motivation And Perceptions Of Organizational Support On Teacher Performance Based On The Implementation Of The Four Pillars Of Unesco Education

This study aims to analyze the influence of work motivation and perceived organizational support on the performance of civil servant teachers of public high schools in Bogor City, using the implementation of the Four Pillars of UNESCO Education as a performance measurement variable. The data collection method was carried out through a questionnaire distributed to 120 respondents of public high school civil servant teachers in Bogor City. Data analysis was conducted using multiple linear regression techniques. The results showed that work motivation has a significant positive effect on teacher performance, and perceived organizational support also has a significant positive effect on teacher performance. In addition, the results of the analysis show that work motivation and perceived organizational support simultaneously affect teacher performance as measured by the implementation of the four pillars of UNESCO Education. These findings are expected to add to the theoretical scientific repertoire and have important implications for education management and school leadership in improving the performance of civil servant teachers of public high schools in Bogor City.

Hubungan Kualitas Aset, Rasio Kecukupan Modal, dan Efisiensi Terhadap Tingkat Kesehatan Bank

Banking institutions have influence on economic growth, so it must be ensured that banks are in a healthy condition. Lending that exceeds the maximum lending limit and only focuses on related businesses is the reason for the decline in bank health. This study aims to examine the relationship between asset quality, capital adequacy ratio, and efficiency to the soundness level of a bank. The data used in this study is secondary data in the form of financial statements of commercial banks listed on the IDX for 4 years from 2019-2022. The method used for sampling is purposive sampling method with a total population of 47 banks in the banking sector. The resulting sample is 64 data from 16 banks. The data analysis technique used in this study uses multiple linear regression techniques. The results of the regression test show that the capital adequacy ratio has no effect on the soundness of a bank, while asset quality and efficiency have a positive effect on the soundness of a bank.

Pengaruh Kualitas Makanan, Cita Rasa Dan Persepsi Harga Terhadap Loyalitas Konsumen Di Rumah Makan Sutini Simbarwaringin Lampung Tengah

The aim of this research is to determine the influence of food quality, taste and priceperception on consumer loyalty at Ibu Sutini Restaurant. The research method usesquantitative research. The objects in the research are food quality, taste, price perceptionand consumer loyalty at Ibu Sutini's Restaurant. The population in this study is all consumerswho visit restaurants. Samples were taken using an accidental sampling technique thathappened to be encountered during the research. The number of samples was 66 consumers.Data was taken using a closed questionnaire on a 1-5 Likert scale which was then analyzedusing multiple linear regression techniques with the help of SPSS version 21.0. The researchresults show that the food quality variable influences consumer loyalty, the taste variableinfluences food loyalty, the price perception variable has a positive influence on consumerloyalty, and the food quality, taste and price perception variables simultaneously influenceconsumer loyalty. Thus, it can be concluded that the variables of food quality, taste and priceperception can increase consumer loyalty to Ibu Sutini's Restaurant.

PENGARUH GAYA KEPEMIMPINAN DAN KEPUASAN KERJA TERHADAP KINERJA PERAWAT DI RUANG RAWAT INAP A RSUP DR. SOERADJI TIRTONEGORO KLATEN

Inpatient services of RSUP Dr. Soeradji Tirtonegoro Klaten is a complex set of services and giving major contribution in determining the quality of service. Nurses play an important role as the spearhead of the longest and energy dealing with patients. Nurses activities reflect the image of the hospital, nurses' performance is inseparable from leadership and job satisfaction. The purpose of research is knowing the influence the effect of leadership style and job satisfaction toward performance. The type of research is quantitative research with a cross sectional design. Independent variable leadership style and job satisfaction, the dependent variable is the performance of nurses. The registered nurse population as a civil servant ( PNS ), amounting to 75 people, collecting sampling techniques total sampling. Analysis techniques of Multiple linear regression. The results is Significance value of leadership style of 0.022 (Sig.&lt; 0,05) and job satisfaction 0.132 (Sig.&gt; 0,05). Test results of F 15.779 with significance level of 0.000. Adjusted R2 coefficient of 28.5 %. The conclusion is 1) leadership style effect a significant toward the nurses performance, 2) job satisfaction variable does not affect the nurses performance, and 3) Leadership Style And Job Satisfaction simultaneously influence toward the nurse performance of inpatient ard A RSUP Dr. Soeradji Tirtonegoro Klaten.

Predicting Healthcare Mutual Fund Performance Using Deep Learning and Linear Regression

Following the COVID-19 pandemic, the healthcare sector has emerged as a resilient and profitable domain amidst market fluctuations. Consequently, investing in healthcare securities, particularly through mutual funds, has gained traction. Existing research on predicting future prices of healthcare securities has been predominantly reliant on historical trading data, limiting predictive accuracy and scope. This study aims to overcome these constraints by integrating a diverse set of twelve external factors spanning economic, industrial, and company-specific domains to enhance predictive models. Employing Long Short-Term Memory (LSTM) and Multiple Linear Regression (MLR) techniques, the study evaluates the effectiveness of this multifaceted approach. Results indicate that incorporating various influencing factors beyond historical data significantly improves price prediction accuracy. Moreover, the utilization of LSTM alongside this comprehensive dataset yields comparable predictive outcomes to those obtained solely from historical data. Thus, this study highlights the potential of leveraging diverse external factors for more robust forecasting of mutual fund prices within the healthcare sector.

A multi-dimensional exploration of university students’ sustainable consumption and environmental awareness in Pakistan

As we continue the journey to evolve into an increasingly environmentally conscious world, understanding the factors that shape sustainable consumption and green behavior among university students is important because they will be our future innovators and leaders. This research delves into the nuanced dimensions of consciousness for sustainable consumption and ecofriendly behavior among university students in Pakistan. This study aims to capture important characteristics of university students and uncover the intricate interplay between these characteristics and sustainable consumption behavior. The study spans different universities, incorporating survey data from 441 students in various universities of Pakistan. Using the online platform of Google Forms, a 5-point Likert scale was used to gather responses of the survey questionnaires. The analytical framework of this study is employing rigorous statistical techniques of ANOVA and multiple linear regression. The findings indicate that ecological awareness significantly impacts green purchasing and sustainable consumption behaviour among the students of universities in Pakistan with some significant mean differences between boys and girls. This research extends its gaze toward a holistic understanding of consciousness for sustainable consumption of students of universities. The resulting narrative embarks on a journey to guide universities and societies in nurturing environmentally responsible citizens and cultivating a sustainable future for all.

THE INFLUENCE OF LEVERAGE, PROFITABILITY, SOLVENCY, COMPANY SIZE, ON STOCK PRICES IN FOOD AND BEVERAGE INDUSTRY COMPANIES LISTED ON THE INDONESIAN STOCK EXCHANGE (BEI) IN 2018-2022

The study was conducted on food and beverage manufacturing businesses that are publicly traded on the Indonesia Stock Exchange (BEI) between 2018 and 2022. The objective of this research is to conduct experiments and studies to examine the influence of profitability, solvency, leverage, and firm size on market pricing. This study is a quantitative analysis that focuses on a specific group of organizations. The research population consists of beverage and food companies that are registered on the IDX for the period of 2018-2022. In all, there are 47 companies included in the study. The sample approach used is purposive sampling with condition 1. The company's registration on the IDX spans from 2018 to 2022. 2). The second point is release financial statements in a continuous sequence spanning from 2018 to 2022. 3) Only 17 firms were selected based on the criterion of consistently generating profits. The data is acquired from the company's yearly financial filings. This data was obtained using a secondary data gathering methodology. Subsequently, the hypothesis is examined through the utilization of the multiple linear regression technique provided by the SPSS software. Partial testing is conducted using T statistical testing and simultaneous testing is performed using Inova statistical testing. Consequently, the research findings indicate that DER and ROE have little influence on stock prices, whereas the debt ratio has a noteworthy positive effect and total assets have a notable negative effect.

Profit Growth of The Company

The agricultural sector is experiencing difficulties in terms of decreased corporate profits. The average profit growth in 2014 was 487, decreased in 2015 by 364, then increased in 2016 by 653, and decreased from 2016-2019. The decline in profit occurred due to the abundant production of agricultural products, and not infrequently, some agricultural commodities were barely produced due to crop failure. This study examines the effect of Current Ratio (CR), Net Profit Margin (NPM), Debt to Equity Ratio (DER), and Total Asset Turnover (TATO) on profit growth in agriculture sector companies listed on the IDX in 2014-2019. This research uses quantitative data with multiple linear regression techniques. The research sample was determined by purposive sampling technique. Quantitative analysis includes classic assumption tests (normality test, multicollinearity test, heteroscedasticity test, autocorrelation test), multiple linear regression test, model feasibility test through t-test, F-test, and coefficient of determination. The results showed that Current Ratio (CR), Debt to Equity Ratio (DER), and Total Asset Turnover (TATO) did not affect profit growth in agricultural companies listed on the Indonesia Stock Exchange (BEI) in 2014-2019, but Net Profit Margin (NPM) affect profit growth in agricultural companies listed on the Indonesia Stock Exchange (BEI) in 2014-2019. The contribution of the results of this study can support the conception of signal theory (Signaling theory), which suggests the importance of information issued by companies to investment decisions. Information is essential for investors and businesspeople because information provides information on records and descriptions of the past, present and future for companies and the capital market. Keywords: Current Ratio, Debt, Asset, Margin, Profit. JEL Classification: G39, G19, Q02

PENGARUH GAYA HIDUP DAN KELOMPOK REFERENSI TERHADAP KEPUTUSAN PEMBELIAN LAPTOP GAMING MERK ACER ( Studi Kasus Pada Komunitas Game Online di Kota Surabaya Timur )

This research aims to investigate the influence of lifestyle and reference groups on purchasing decisions for Acer brand gaming laptops. This research uses a quantitative approach with a survey method through primary data collection or questionnaires. The respondents of this research are members of the kill the last community in East Surabaya. This research sample consisted of 90 respondents selected randomly. The data collected will be analyzed using multiple linear regression techniques and hypothesis testing to test the hypothesis of this research. The research results show that the reference group has a significant influence on the decision to purchase an Acer Brand Gaming laptop. In the current era of globalization, it causes an increase in population and technological developments. Human lifestyles change along with technological developments, resulting in a modern, digital and instantaneous human lifestyle. This causes the need for technology products to become a primary need, one of which is the need for laptops. The increase in people's lifestyles and knowledge from the reference group causes people to become more critical in choosing the laptop products offered, giving rise to competition between laptop companies in getting sympathy, in order to get purchasing decisions from consumers. The Acer company was founded by Stan Shih who comes from Taiwan. Acer laptops are one of the laptops that have always been the choice of people in the city of Surabaya

Kepemimpinan Transformasional, Kompensasi Finansial, dan Lingkungan Kerja: Menelusuri Pengaruhnya terhadap Turnover Intention pada Klinik Dina Akupuntur &amp; Beauty Care di Surabaya &amp; Sidoarjo

The development of technology in the digital era has significantly impacted human resource management (HRM), particularly concerning the high employee turnover that is a primary concern in HRM. This research explores the influence of factors such as transformational leadership, financial compensation, and work environment on employees' turnover intention, aiming to assist companies in designing effective strategies to retain quality employees amidst dynamic market changes. The research object is Dina Acupuncture &amp; Beauty Care Clinic in Surabaya &amp; Sidoarjo. This research involves the entire population of Dina Acupuncture &amp; Beauty Care Clinic in Surabaya &amp; Sidoarjo, totaling 60 individuals. Data collection is carried out using both primary and secondary methods, incorporating interviews, questionnaires, and literature reviews. The research methodology employed is quantitative. Data analysis employs multiple linear regression techniques, and a Likert scale is utilized for sampling. Analytical tests encompass validity, reliability, normality, multicollinearity, heteroskedasticity, F-test, and t-test. Furthermore, data processing is conducted using SPSS software version 25. The research results indicate that the t-test produces a t-value of -3.548 for transformational leadership, which is smaller than the critical t-value of -2.003. Meanwhile, for financial compensation, the t-value is 5.392, exceeding the critical t-value of 2.003. Similarly, for the work environment, the t-value is -4.538, which is smaller than the critical t-value of -2.003. All variables exhibit significance below 0.05. Partially, transformational leadership and the work environment have a significant negative influence on turnover intention. On the other hand, financial compensation has a significant positive impact on turnover intention. The F-test yields an F-value of 23.775, surpassing the critical F-value of 2.77, with a significance of 0.000 &lt; 0.05. This indicates that collectively, transformational leadership, financial compensation, and the work environment significantly influence turnover intention. Based on the results of this research, it can be concluded that independent variables, such as transformational leadership and the work environment, partially have a significant negative impact on the dependent variable, namely employee turnover intention. Meanwhile, financial compensation partially has a significant positive influence on turnover intention. Collectively, the independent variables, including transformational leadership, financial compensation, and the work environment, significantly affect the dependent variable, namely turnover intention. This conclusion indicates that these factors play a crucial role in understanding and managing employees' tendencies to leave their jobs. Therefore, when developing company strategies and policies, it is essential to consider these aspects to enhance employee retention and achieve organizational goals more effectively.