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162 results for “Linear Regression”
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Research ArticleOpen accessPhrase in the titleMultiple Linear Regression to Predict Electrical Energy Consumption Based on Meteorological Data: Application to Some Sites Supplied by the CEB in TogoApaloo Bara Komla Kpomonè et al.The prediction model developed in this article is based on the use of meteorological variables to estimate the consumption of electrical energy at the substations of the Electric Community of Benin. The objective is to predict this consumption in order to adapt production to it. The posts (Lomé Aflao, Légbasito, and Lomé port) are the targets that were used in … …American Journal of Applied Sciences, Vol. 21, Issue 1 · 10 Jun 2024 · 5,785 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleDeterminants of Household Saving Using Linear Regression Model. Evidence in Italian RegionsDomenica Federico, Antonella Notte, Angela Coscarelli, Maria Anastasia ArcuriHousehold saving decisions have always attracted the attention of researchers and policymakers. In fact, an increase in savings increases investments and this is reflected in an improvement in the standard of living of householders. Therefore, the focus of this article is on the determinants of household saving decisions in Italian regions. The savings of Italian families are represented by the … …American Journal of Economics and Business Administration, Vol. 16, Issue 1 · 30 Apr 2024 · 9,264 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleFeasibility of Hybrid Neuro-Fuzzy (ANFIS) Machine Learning Model with Classical Multi-Linear Regression (MLR) For the Simulation of Solar Radiation: A Case Study Abuja, NigeriaNajashi B. Gafai, Asia'u Talatu BelgoreThe extremely variable nature of solar radiation makes it difficult for solar power plants to keep up with predicted power output and demand curves. As a result, solar radiation simulation is crucial to the efficient design, administration, and operation of any solar power plant. With only partially satisfactory results, empirical models have been routinely employed in Nigeria to predict solar … …Energy Research Journal, Vol. 13, Issue 1 · 21 Jul 2022 · 10,032 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleComparison of Multiple Linear Regression and Neural Network Models in Bank Performance Prediction in BotswanaHassan Kablay, Victor GumboBank performance is critical to the banking sector and the economy as a whole. In this study, Multiple Linear Regression (MLR) technique and feed forward Neural Network (NN) are used to predict the performance of 11 banks in Botswana. Return on Assets (RoA) is used as the dependent variable, while management quality, credit risk, liquidity, financial leverage and capital adequacy … …Journal of Mathematics and Statistics, Vol. 17, Issue 1 · 10 Jan 2022 · 6,465 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleModeling Pan Evaporation for Kuwait using Multiple Linear Regression and Time-Series TechniquesJaber AlmedeijThis study attempts to model evaporation for Kuwait under arid conditions by using a wide range of monthly evaporation data, varying from 0.1 to 40 mm/day, from January 1993 to July 2015. Owing to the reason that the well-known theoretical evaporation models presented in the literature have been justified for a much shorter data range, the paper adopts empirical approaches … …American Journal of Applied Sciences, Vol. 13, Issue 6 · 8 Jun 2016 · 7,089 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleCOLLABORATION OF STATISTICAL METHODS IN SELECTING THE CORRECT MULTIPLE LINEAR REGRESSIONSAli Hussein Al-MarshadiThis article considers the analysis of Multiple Linear Regressions (MLRs) that are essential statistical method for the analysis of medical data in various fields of medical research like prognostic studies, epidemiological risk factor studies, experimental studies, diagnostic studies and observational studies. An approach is used in this article to select the "true" regression model with different sample sizes. We used … …Current Research in Biostatistics, Vol. 4, Issue 2 · 15 Sep 2014 · 7,791 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleDeduction of Oral Cancer Using Fuzzy Linear RegressionS. Arulchinnappan, K. Karunakaran, G. RajendranProblem statement: To examine the risk factors of oral cancer at the earlier stage. Smoking, chewing, and drinking are the major risk factors which cause oral cancer considered as input variables. Approach: A case – control study was conducted at JKK Nataraj Dental College and Hospital, during the period from September 2007 to November 2009, in Namakkal District, Tamilnadu, India. … …Journal of Computer Science, Vol. 7, Issue 8 · 14 Jul 2011 · 6,851 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleForecasting Gold Prices Using Multiple Linear Regression MethodZ. Ismail, A. Yahya, A. ShabriProblem statement: Forecasting is a function in management to assist decision making. It is also described as the process of estimation in unknown future situations. In a more general term it is commonly known as prediction which refers to estimation of time series or longitudinal type data. Gold is a precious yellow commodity once used as money. It was made … …American Journal of Applied Sciences, Vol. 6, Issue 8 · 31 Aug 2009 · 11,091 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleComparative Study of Garuda Indonesia Stock Price Prediction Using SVM, LSTM and Multiple Linear RegressionMuhammad Naufal Luthfi, Evaristus Didik MadyatmadjaStock shares are one of the investment products or tools that have been used by many people. Shares have interesting options for saving or investment and are able to provide attractive returns based on corporate or company growth. Many factors can affect the share prices, whether internal or external companies. This research was conducted on Garuda Indonesia's stock price with … …Journal of Computer Science, Vol. 21, Issue 4 · 25 Mar 2025 · 5,032 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleAnalysis of Big Data Football Club Market Value Using K-Means and Linear Regression Mining MethodsJohanes Fernandes Andry, Riama Sibarani, Vlavio Nathanael YeftaFootball clubs store a lot of data about their players, squad, transfer market, and market value, so big data is needed to process this data. This data can be analyzed to gain insight into the club's market value. Changes in player performance, age, and squad size can be analyzed using statistical methods. These digital data will provide information about the … …Journal of Computer Science, Vol. 19, Issue 2 · 10 Feb 2023 · 5,991 accessesView PDFCite