Regression Analysis Approach Research Articles

A Predictive Model of Live Birth Based on Obesity and Metabolic Parameters in Patients With PCOS Undergoing Frozen-Thawed Embryo Transfer.

AimsTo determine the clinical predictors of live birth in women with polycystic ovary syndrome (PCOS) undergoing frozen-thawed embryo transfer (F-ET), and to determine whether these parameters can be used to develop a clinical nomogram model capable of predicting live birth outcomes for these women.MethodsIn total, 1158 PCOS patients that were clinically pregnant following F-ET treatment were retrospectively enrolled in this study and randomly divided into the training cohort (n = 928) and the validation cohort (n = 230) at an 8:2 ratio. Relevant risk factors were selected via a logistic regression analysis approach based on the data from patients in the training cohort, and odds ratios (ORs) were calculated. A nomogram was constructed based on relevant risk factors, and its performance was assessed based on its calibration and discriminative ability.ResultsIn total, 20 variables were analyzed in the present study, of which five were found to be independently associated with the odds of live birth in univariate and multivariate logistic regression analyses, including advanced age, obesity, total cholesterol (TC), triglycerides (TG), and insulin resistance (IR). Having advanced age (OR:0.499, 95% confidence interval [CI]: 0.257 – 967), being obese (OR:0.506, 95% CI: 0.306 - 0.837), having higher TC levels (OR: 0.528, 95% CI: 0.423 - 0.660), having higher TG levels (OR: 0.585, 95% CI: 0.465 - 737), and exhibiting IR (OR:0.611, 95% CI: 0.416 - 0.896) were all independently associated with a reduced chance of achieving a live birth. A predictive nomogram incorporating these five variables was found to be well-calibrated and to exhibit good discriminatory capabilities, with an area under the curve (AUC) for the training group of 0.750 (95% CI, 0.709 - 0.788). In the independent validation cohort, this model also exhibited satisfactory goodness-of-fit and discriminative capabilities, with an AUC of 0.708 (95% CI, 0.615 - 0.781).ConclusionsThe nomogram developed in this study may be of value as a tool for predicting the odds of live birth for PCOS patients undergoing F-ET, and has the potential to improve the efficiency of pre-transfer management.

Establishing empirical relationships and process parameter optimization of tungsten inert gas welded butt joints of nickel-based alloy using statistical approach of regression analysis and response surface methodology

ABSTRACT This investigation presents the process parameter optimisation of high-frequency concentrated arc TIG (HFCA-TIG) welded butt joints of nickel-based alloy 718 using response surface methodology to enhance the performance characteristics of joints. The polynomial regression equations of second order were formulated for predicting the performance characteristics of alloy 718 butt joints from the process parameters. Analysis of variance (ANOVA) was performed to determine the significant process parameters and to estimate the proficiency of empirical relationships. The experimental and predicted results were compared for validation of empirical relationships. It disclosed less than 4% error at 95% confidence level. The numerical and graphical optimisation complying the optimisation criteria was executed to find the optimum conditions of process parameters depending on the desirability function. The interaction effect of process parameters on performance characteristics of joints was analysed from three-dimensional response surface plots.

The Usage of Antenatal Care Visit and Its Determinant Factors Using 2016 EDHS Data: Application of Count Regression Models

Antenatal care gives women and their families the information and advice they need to have a healthy pregnancy, have safe childbirth, and recover postpartum. ANC is an important intervention for lowering maternal and newborn mortality. There have been some studies done on determinants that affect the number of the minimum recommended antenatal care visits attendance, and it would be interesting to see the number of antenatal care visits and its determinant factor among pregnant women in Ethiopia from the 2016 Ethiopia Demographic Health Survey. The data was exported to STATASE 14 (64-bit) software was used for analysis and a weighted sample of 7575 women who gave birth in the last five years before the survey was included in the final analysis. A multivariable Negative Binomial regression analysis approach was carried out to identify the number of ANC visits and the determinants that affect the number of ANC visits, because the response variable was over dispersed. The aim of this study to assess the use of antenatal care visits and the factors affecting it using the 2016 EDHS Data through the application of count regression models. Finally, the IRR was used to report the relationship between the frequency of ANC and explanatory variables, along with its 95 percent confidence interval. According to the analysis (62.79%) of mothers had at least one antenatal care visit, (37.21%) had no antenatal care visit and only 31.88% attended four or more ANC visits during their pregnancy in Ethiopia. Maternal age, residence, maternal education, wealth quintile, place of ANC, ANC providers, and first ANC visit were significantly associated with level of antenatal care visits. Generally, frequency of antenatal care visits is low in Ethiopia. Its recommended to all concerned bodies should focus on their program on the number of ANC visits in all Ethiopia to improve both maternal and child health.

Are Law Schools Cream-Skimming to Bolster Their Bar Exam Pass Rates? A Multilevel Regression Analysis Approach to Estimate How Attrition and Transfer Rates Affect Bar Passage

Are Law Schools Cream-Skimming to Bolster Their Bar Exam Pass Rates? A Multilevel Regression Analysis Approach to Estimate How Attrition and Transfer Rates Affect Bar Passage

Influence of social media marketing, product quality, and price on purchase decisions in mid covid-19 on Ilsproject

The COVID-19 pandemic that has occurred in Indonesia has changed all the orders of people's lives, one of which is the change from offline to online. Various industries have adopted online marketing in the midst of uncertainty due to the pandemic and intense competition, one of which is Ilsproject. This study aims to analyze and determine the effect of social media marketing, product quality, and price on consumer purchasing decisions in the midst of a pandemic. This research is quantitative, so the data collection method is done by questionnaire and analyzed using a multiple linear regression analysis approach. The findings in this study reveal that the variables of social media marketing, product quality, and price have a positive and significant effect on purchasing decisions, either partially or simultaneously. Thus, this research is able to contribute theoretically to the marketing literature and practically to Ilsproject as input for decision-making related to strategic planning in the future.

Progression of COVID-19 Pandemic in India: A Linear Functional Concurrent Regression Analysis Approach

Background: COVID-19 is a disasterous pandemic that the world has ever faced. It is affecting the global health system irrespective of race, ethnicity, environment, and economic status. This study is conducted with the aim of assessing the progression of the COVID-19 pandemic in India. Methods: This article uses the functional concurrent regression analysis approach to describe the pattern of daily reported confirmed cases of COVID-19 in India. The approach provides an excellent fit to the daily reported confirmed cases of the disease. The data used in this study have been taken from covid19india.org. Results: Estimated value of the parameter kbof the model is highly volatile. During the first phase of the pandemic which last up to 31st March 2020, value was very high. During 31st March to 19th July 2020 except for a few exceptions. Its value again increased rapidly from 17th February 2021 to 16th April 2021 and started decreasing after mid-March, 2021 and continued decreasing till present. Conclusion: The data-driven approach used in this study is purely empirical and does not make any assumption about the progression of the pandemic or about the data. The article suggests that based on the parameter of the model, an early warning system may be developed and institutionalised to undertake the necessary measures to control the spread of the disease, thereby controlling the pandemic.

Tuning of Friction Oscillation Amplitude in Halloysite, Montmorillonite, and Wollastonite Filled Friction Composites: Load, Speed, and Temperature Sensitivity

Abstract The influence of clay mineral silicate types, such as halloysite, montmorillonite, and wollastonite with tubular, plate like, and acicular morphologies respectively, on frictional oscillation of composite materials has been evaluated on chase-type dynamometer and optimized following the combination of Taguchi’s L9 design of experiment and regression analysis approaches. The coefficient of friction of ∼0.35–0.45 and cumulative wear at <10% remained well within the acceptable range. The optimal tuning of friction oscillation to reduce braking-induced noise and vibration propensity has been achieved by montmorillonite clay with platelet-type morphology or by combination of MgO and wollastonite clay with acicular morphology. The extent of Fe- content in wear debris close to ∼80% on the composite surface led to an optimal level of friction oscillation amplitude (Aamp). The hierarchical ranking of the clay-based composites by technique for an order of preference by similarity to ideal solution (TOPSIS)-based operation research approach leads to the understanding of design ideology optimization for composites to ensure minimal friction oscillations.

Analisis Pengaruh Temperature terhadap Density Crude Oil Kilang PPSDM MIGAS dengan Pendekatan Metode Theil pada Analisis Regresi Linier Non-Parametrik

Density is one of the factors that affect the quality of crude oil. In the process of measuring the density of crude oil, the temperature of the crude oil is also measured. Therefore an analysis is needed to determine the effect of temperature on density crude oil. In this study, the authors will discuss and analyze the effect of temperature on the density of crude oil at refinery and utility units using the Theil method approach in non-parametric linear regression analysis. From the research results obtained a non-parametric simple linear regression model with the Theil method on the effect of temperature data on density crude oil PPSDM Migas Cepu in December 2020 is: ,, where   is the estimated value of the dependent variable  and are independent variables (temperature crude oil). The test results show that at a significant level of 0.05, temperature affects the density of crude oil. The correlation between temperature and density crude oil has a very strong correlation with the Kendall-Tau correlation value of -0.810 and the relationship between the two variables is opposite, which means that the higher the temperature, the lower the density of crude oil. The confidence interval of 0.95 slope coefficient is in the range of  , meaning that with 95% confidence it is concluded that the density crude oil will decrease to 2.298 or increase to 0.007 kg / m3 for every 1° C increase in temperature.

Pengaruh Kepemimpinan, Pengawasan, dan Kepuasan Kerja terhadap Disiplin Kerja Pegawai

The purpose of this study was to analyze the influence of leadership, supervision, and job satisfaction on work discipline either simultaneously or partially. The research method used is a quantitative survey research method with a sampling technique using a census sampling technique, namely all employees with the status of echelon III, echelon IV and employees who have analytical positions as samples. The data analysis technique was carried out using multiple linear regression analysis approach, correlation test, determination test, simultaneous test and partial test. The results showed that the partial t-test value of the leadership variable on employee work discipline, the supervisory variable on employee work discipline, and the job satisfaction variable on employee work discipline respectively, namely tcount 3,723 > ttable 2,056, tcount 3,502 > ttable 2,056, tcount 8,341 > ttable 2,056. The regression equation is Y= 2.226 + 0.168 X1 + 0.324 X2 + 0.507 X3 + e. While the result of R Square is 0.969. In conclusion, simultaneously the variables of leadership, supervision, and job satisfaction have a positive effect in improving work discipline. while partially the three independent variables have a positive effect on improving work discipline.
 Keywords: Work Discipline, Leadership, Job Satisfaction, Supervisory Employees

Factors Affecting Bank Profitability of BUKU 1 and BUKU 2

The research aims to know and analyze the effect of bank health ratios in terms of capital aspects (CAR and CCRA), rentabilities aspects (ROA, OEOI, and NIM), and liquidity aspects (LDR and LAR) on Profitability in BUKU 1 and BUKU 2 group banks. This study used secondary data obtained from monthly financial statements on banks category BUKU 1 and BUKU 2 period January 2015-December 2019 while analyzing data using the multiple linear regression analysis approaches. The results found that 1) aspects of bank capital as measured by capital Adequacy Ratio and Core Capital Ratio to ATMR consistently had no significant effect on profitability in the BUKU 1 and BUKU 2 group banks; 2) Aspects of Rentability as measured by ROA and NIM proved to have a negative and significant effect on bank profitability in the BUKU 1 and BUKU 2 groups, While for Operating Expenses or Operating Income proved to have a significant negative effect on bank profitability and 3) Aspects of liquidity as measured by LDR and LAR proved to have a positive and significant effect on profitability in banks in the BUKU 1 and BUKU 2 groups, and 4) Among bank health ratios, it was found that LDR was the dominant variable on the profitability on banks in the BUKU 1 and BUKU 2 groups.JEL: G21, G23, G53

Pengaruh Langsung dan Tidak Langsung Dana Perimbangan Melalui Belanja Modal terhadap Pertumbuhan Ekonomi di Provinsi Jambi

This study aims to find out: (1) The direct effect of balance funds on economic growth. (2) The indirect effect of balance funds through capital expenditures on economic growth. This study used secondary data in the form of panel data during the years 2014-2019 of districs/cities in Jambi Province. The data was obtained from the Central Statistics Agency (BPS) and the Directorate General of Financial Balance (DJPK). Path Analysis model with Linear Regression Analysis approach is gradually used to analyze the direct and indirect effect between exogenous and endogenous variables in the presence of intervening variables. The results showed that: (1) The balance fund directly had a significant effect on economic growth. (2) The balance funds indirectly through capital expenditures has no significant effect on economic growth. Based on the results, it was hope that provides benefits for local government to utilize effectively and efficiently the regional revenues and as input for further research to getting even better results.

A Regression Analysis Approach to Measuring the Influence of Student Characteristics on Language Learning Strategies

A Regression Analysis Approach to Measuring the Influence of Student Characteristics on Language Learning Strategies

Modelling and optimizing surface roughness and MRR in electropolishing of AISI 4340 low alloy steel in eco-friendly NaCl based electrolyte using RSM

Electropolishing (EP) is a reliable post-processing method of the drilled metals for achieving a high-quality surface finish with an appropriate material removal rate. This process has many applications due to its advantages such as improving the surface quality by removing the surface peaks on a micro-scale. The aim of most attempts on this process is setting up the optimum parameters to obtain maximum Material Removal Rate (MRR) with minimum surface roughness. In the present wo k, electropolishing of AISI 4340 low alloy steel immersed in eco-friendly NaCl solution has been studied numerically and experimentally. So, primarily a simulation model was developed for the EP process on cylinder parts in COMSOL Multiphysics which was validated with experimental approaches. The results revealed that the numerical model would be convenient for EP. The experiments were performed using Response Surface Methodology (RSM) to evaluate the effect of input variables on the responses. The effects of input variables electrolyte temperature, current intensity, and primary gap were investigated on the outputs MRR and surface roughness at five levels. Based on the results, the electrolyte temperature and current intensity were more effective parameters on the outputs. Results of ANOVA and regression analysis approach revealed that by increasing the current and electrolyte temperature, the MRR increases correspondingly and surface roughness declines and the primary gap has a reverse effect on the MRR. Finally, by performing a multi-objective optimization using Derringer’s desirability approach, the EP of AISI 4340 with an eco-friendly NaCl solution was optimized.

The Role of Leadership and Personality in Trust

This study aims to investigate the role of leadership and personality in trust. This research uses a survey with a multiple regression analysis approach. The size of the sample is 105 respondents who were selected at simple random from a population of 145 populations using the Slovin formula who were at a low managerial level with work experience of more than five years and assigned to the plantation area were surveyed. The results of the study found that there is a direct positive influence of leadership on trust. Also, there is a direct positive influence of personality on trust. Additionally, there is a joint influence of leadership and personality on trust. Referring to these findings, the researcher can conclude that trust is positively influenced by leadership and personality. Therefore, to maintain trust, organizations must apply leadership and personality. Finally, it is concluded that leadership and personality must be considered in generating trust. To increase trust, it should be by increasing leadership, because the value of the coefficient of influence is greater than personality.

Effect of institutional mechanisms on micropension saving among informal economy workers in the Greater Accra Region of Ghana

The study investigated the effect of institutional mechanisms of micropension saving (MPS) schemes in extending coverage to informal economy workers. We used mixed methods as the research approach, and collected both quantitative and qualitative data for analysis. Using principal component analysis, multiple regression analysis and interpretative approaches that yielded themes, we concluded that more access provision, incentives and security result in increased informal economy workers’ participation in MPS. However, general form of financial information to informal economy workers was found to demotivate enrolment onto the scheme. Consequently, we recommended that corporate pension trustees should create institutional structures like pension education campaigns on national television and radio to promote the culture of pension saving.

Working capital management impacts on small-scale coffee wet mills' financial performance in eastern Kenya

The manufacturing sector is critical in the realization of the economic pillar of the Kenyan Vision 2030. Over the last decade, the sector has experienced declining growth, mainly attributed to the agro-processing industry's poor financial performance. The Kenyan government has initiated stringent financial reforms across agro-based sectors, including coffee processing firms, to improve performance and increase farmers' returns. However, limited studies have investigated the impacts of working capital management (WCM) on small-scale coffee wet mills' financial performance. We assessed the effect of working capital management on financial performance in small-scale coffee wet mills. We collected the data from 41 small-scale coffee wet mills in Embu County, Eastern Kenya. We adopted a multivariate regression analysis approach on panel data (2014–2018) to analyze working capital management's impact on small-scale coffee wet mills' financial performance. Our findings showed that the current ratio and average payment period negatively affected the return on small-scale coffee wet mills' assets. Thus, the wet mill processors could lower their payables period and current ratio to improve return on assets. The study revealed that the firm's Size and age also had a positive and negative effect, respectively, on return on assets of small-scale coffee wet mills. Both average payment period and current ratio had a positive effect on return to farmers. We conclude that working capital management, that is, average payment period and current ratio, negatively influences ROA while positively influencing farmers. Therefore, the management of the coffee wet mills should increase the current ratio and lengthen the average payment period to enhance return payable to farmers.

Explaining mobile game takeoff through information configuration

PurposeThe purpose of this paper is to explore how the number and quality of games that publishers have released, popularity of game genre, age rating and package size are configured to determine the mobile game takeoff in a short time.Design/methodology/approachBased on the signaling theory, the authors present a conceptual model. Using actual data about 170 mobile games at their initial stage in the Apple App store, the authors test the conceptual model by applying fuzzy qualitative comparative analysis (fsQCA).FindingsThe findings identify four solutions that explain Mobile game takeoff in a short time. The authors highlight the role of the number and quality of games released by publishers, as well as that of popular game genres, which are always core factors when present.Originality/valueThis paper complements the previous research on the diffusion of mobile games by exploring which information combinations can lead to mobile games takeoff in a short time from the perspective of configuration. FsQCA serves as a better tool for explaining the complex relationships among variables than a regression analysis approach does. The authors extend existing knowledge on how the number and quality of games that publishers have released, popularity of game genre, age rating and package size combine to lead to takeoff of mobile games in a short time.

Indicators of biodiversity in an intensively cultivated and heavily human modified landscape

Nowadays, the loss of biodiversity in agroecosystems due to the intensification of farming practices is happening very fast, and therefore, stopping or slowing it down should be a priority for conservation. To detect changes in these environmental contexts, one approach contemplates focusing on a limited set of indicator species that can alert us to ongoing changes in progress. In this research, we aimed to measure the biodiversity of vertebrates using a multi-taxa approach in an intensively cultivated and highly inhabited area located in northern Italy. We investigated the relationships between biodiversity and environmental characteristics and we identified the taxonomic groups that can be used as indicators of biodiversity. Data collection was carried out in 2016 with different methods depending on the taxonomic group, in 131 sampling units chosen using a Tessellation Stratified Sampling. Then we calculated for each sampling unit a standardized Biodiversity Index, which was related to environmental variables concerning the land use and the landscape configuration using Multiple Linear Regression Analysis and Information-Theoretic approach. We used correlation analyses and the Indicator Species Analysis (IndVal) to identify the taxonomic groups and species that can be used as indicators of biodiversity. Biodiversity was positively related to the number of patches of natural vegetation, whereas it was negatively affected by the number of patches of artificial surfaces and by habitat diversity. Our findings agree with those obtained by many other researchers, which pointed out that agroecosystems provide adequate shelters, suitable foraging habitats and nesting sites. The negative effect of habitat diversity was explained by the area-heterogeneity trade-off. Therefore, sites with high heterogeneity will not contain enough cover of residual natural vegetation, essential to maintain high biodiversity, because increasing compositional heterogeneity within a fixed area simultaneously reduces the surface of each cover type. The analyses showed that birds and reptiles might be used as biodiversity indicators of vertebrates. Eurasian Magpie and Green Whip Snake, both generalist species, were associated with sites of low biodiversity, whereas seven birds, both generalists and farmland specialists, were associated with sites of medium biodiversity. In high biodiversity sites there were not indicator species. To conclude, in less natural environments, such as urban and agricultural landscapes, a combination of specialist and generalist indicator species seems adequate to monitor biodiversity changes. Our findings increase the knowledge of these very dynamic ecosystems, being important both to plan strategies for biodiversity conservation and to guarantee ecosystems services useful for humans.

↵Analysis of Trait Association and Genetic Diversity in Garden Pea (Pisum sativum L.) Genotypes under Middle Gangetic Plain Region of India

Background: Garden pea is a cool season vegetable crop cultivated extensively throughout the world. Besides nutritional quality it also boosts soils through the fixation of atmospheric nitrogen. The most important task of pea breeding is to develop varieties with high and stable production, different maturity types and resistance against biotic and abiotic stresses. To fulfil these objectives, analysis of genetic diversity is the prerequisite to choose genetically diverse parents for a successful hybridization program and to know the source of genes for a particular trait within the available germplasm. Methods: A study was conducted at ICAR-Indian Institute of Vegetable Research (IIVR), Varanasi during 2015, using principle component analysis, correlation analysis and stepwise regression analysis approaches to assess the genetic diversity present in 160 pea genotypes for the identification of diverse parents for use in crop improvement. Result: Based on the phenotypic data, three superior genotypes VRPD-2, VRPR-15 and VRP-292 were identified on the basis of pod yield, number of pods per plant, ten pod weight, pod length and number of seeds per pod whereas three other genotypes VRPE-45-1, VRPE-55 and VRPE-36 were found early flowering. Principle Component Analysis revealed that first four principle components contributed to 85% of the total variation so these four were given due importance for further explanation. Stepwise multiple regression analysis revealed that number of pods per plant, ten pod weight and number of internode for first pod were the best predictors of pod yield per plant.

Effect of Institutional Mechanisms on Micropension Saving Among Informal Economy Workers in the Greater Accra Region of Ghana

The study investigated the effect of institutional mechanisms of micropension saving (MPS) schemes in extending coverage to informal economy workers. The research design used was the mixed method where both quantitative and qualitative data were collected to draw conclusion. Using principal component analysis, multiple regression analysis and interpretative approaches that yielded themes, the study concluded that more access provision, incentives and security result in increased informal economy workers’ participation in MPS. However, general form of financial information to informal economy workers was found to demotivate enrolment onto the scheme. Consequently, it is recommended for corporate pension trustees to create institutional structures like pension education campaigns on national television and radio to promote the culture of pension saving.