Multiple Linear Regression Techniques Research Articles

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

The Influence of Hard Skills and Career Development on Employee Performance Achievement at the Makassar City Transportation Service

To determine the influence of the Hard Skills and Career Development Towards Employee Performance Achievement At the Makassar City Transportation Department. To analyze this research, the method used is quantitative descriptive with the number of samples taken as many as 89 respondents from the total population as many as 787 people at the Makassar City Transportation Service Using the Slovin formula. The data analysis technique using multiple linear regression and data collection techniques are carried out through observation, questionnaires and documentation. The research results show that the influence of Hard Skills and Career Development on the performance of Makassar City Transportation Service employees positive and significant effect on the performance of Makassar City Transportation Service employees.

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.

Pengaruh Work Environment dan Perceived Organizational Support terhadap Employee Engagement pada Karyawan Kantor POS Kabupaten Tuban

This study investigated the impact of work environment and perceived organizational support on employee engagement. The data was analyzed with a Multiple Linear Regression technique using SPSS 25 Version.The sample came from employee of the expedition company in Tuban with total 40 respondent using the saturated sample technique. Statistical result showed that work environment giving the positive significant effect on employee engagement. A good work environment can make employee more comfortable thenit can increases engagement of the employee. In the same way, perceived organizational support also giving a positive impact significantly on employee engagement. Good support from the company can trigger employee enthusiasm in increasing engagement of the employee. In addition, the test results demonstrated that employee engagement is positive and significantly impacted by work environment and perceived organizational support. Based on the research results, companies need to further maximize the quality of the work environment both physically and socially and maximize support such as being more responsive to complaints, reinforcing regulations that can equalize the treatment of each employee which will be able to increase employee engagement.

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.

Determinan Kinerja Auditor : Survey pada Auditor di Kantor Akuntan Publik

This study aims to analyze audit structure and job satisfaction in determining auditor performance. The survey was conducted on auditors who work at Public Accounting Firms in Makassar City. Data collection using questionnaire techniques and samepl extraction techniques is a saturated sampling technique. The number of samples taken was 33 respondents. The data analysis method uses multiple linear regression techniques. The results of the study show that audit structure and job satisfaction have a significant positive effect on auditor performance.

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.

Analisis Pendapatan Asli Daerah dan Penanaman Modal dalam Negeri terhadap Indeks Pembangunan Manusia dengan Tingkat Kemiskinan sebagai Variabel Intervening pada Provinsi Jawa Timur

This research aims to evaluate the impact of Regional Original Income (PAD) and Domestic Investment (PMDN) on the Human Development Index (HDI) in East Java province during the 2007-2021 period, with poverty as an intermediate variable or intervening variable. A quantitative approach is applied using multiple linear regression techniques and path analysis as the main methods. The research results show that there is a direct positive and significant relationship between PAD, PMDN, and HDI. However, through path analysis, there is no indication of an indirect influence through poverty on HDI from PAD and PMDN. The implications of these findings can provide a deeper insight into regional development strategies, by highlighting the importance of increasing PAD and PMDN directly to support increasing HDI. In conclusion, the results of this research contribute to understanding the dynamics of the interaction of economic and social variables in the context of regional development in the province of East Java. Keywords: Human Development Index, Regional Original Income, Domestic Investment, Poverty Level

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.