multiple linear regression (MLR)
Comparison between multiple linear regression and fuzzy C regression models towards scale of health in ICU
... The multiple linear regression (MLR) model is well-known in analyzing linear ...Keywords Multiple linear regression (MLR) model; fuzzy c-regression models (FCRM); ...
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Analysis of Tanzanian Energy Demand using Artificial Neural Network and Multiple Linear Regression
... Analysis of energy demand is of a vital concern to energy systems analysts and planners in any nation. This paper present artificial neural network-multilayer perceptron (ANN- MLP) and multiple linear ...
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An application of robust method in multiple linear regression model toward credit card debt
... are multiple linear regression (MLR) models, MLR models with least quartile difference (LQD) method and MLR models with mean absolute deviation ...
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Forecasting gold prices using multiple linear regression method
... In this study, we proposed the development of forecasting model for predicting future gold price using Multiple Linear Regression (MLR). The data used in this study are the Gold Prices (GP) from the ...
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Development of Prediction Models for the Mutagenicity of Nitrated PAHs Based on Multiple Linear Regression
... by multiple linear regression (MLR), which has been proved to be a multidisciplinary approach applicable for establishing linear predictive ...
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A technique of fuzzy c mean in multiple linear regression model toward paddy yield
... the multiple linear regression model and fuzzy c-means in multiple linear regression technique toward paddy ...both multiple linear regression analysis and ...
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Pile design using Multiple Linear Regression model
... The variables were used to develop the Multiple Linear Regression (MLR) model. The Statistical Product and Solutions Services (SPSS) software versions 20 are used as a tool to develop the ...
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Evaluation of Two Noise Level Prediction Models: Multiple Linear Regression and a Hybrid Approach
... Land-use regression modelling approaches are mostly being used for assessing the exposure of the urban communities to air pollutions ...squares regression modelling to predict air pollution levels based on ...
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Comparative Evaluation of Multiple Linear Regression and Support vector Machine aided Linear and Non
... -linear regression in QSAR models. Models obtained from SVM aided non-linear regression were found statistically fit and more predictive than models obtained from multiple linear ...
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Comparison of Solar Radiation Intensity Forecasting Using ANFIS and Multiple Linear Regression Methods
... To determine the performance of the ANFIS method in predicting the intensity of solar radiation, the Multiple Linear Regression (MLR) method is used as a comparison. The performance of both methods ...
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Application of multiple linear regression model in the performance analysis of traffic rules
... Nowadays, the traffic safety problem has become the focus of attention and making a sound and reasonable traffic rules and regulations is the trend. The current study mainly discusses the overtaking and lane-changing ...
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Determination of critical properties of Alkanes derivatives using multiple linear regression
... compounds. Multiple linear regression was used to estimate the correlation between these critical properties and molecular descriptors using proper ...
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A study of English reading ability based on multiple linear regression analysis
... Any of human being’s acquired ability has its own influences, if the influencing factors of an ability can be scientifically grasped and be fulfilled through practices, then it meets the theorem of “efforts+ ...
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Using a Multiple Linear Regression Model to Calculate Stock Market Volatility
... a multiple linear regression model to predict the price of the S&P 500, some important results are necessary to be taken into account for the current ...
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Modelling and Forecasting of Residential Electricity Consumption in Nigeria Using Multiple Linear Regression Model and Quadratic Regression Model with Interactions
... presented. Multiple linear regression model and quadratic regression model with interactions are applied to estimate residential electricity consumption and to forecast long-term residential ...
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Bridge Construction Cost Prediction using Multiple Linear Regression
... using multiple linear regression model, based on data of bridges from Maharashtra state in ...log regression techniques, models for cost/m2 and log of cost/m2 are ...suited regression ...
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Modeling of Yarn Strength Utilization in Cotton Woven Fabrics using Multiple Linear Regression
... the multiple linear regression method to understand how the change in weave and other fabric parameters influences the percentage utilization of single yarn strength in the fabric (% ...
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A Study of Factors that Influence students Academic performance: Multiple Linear Regression Modeling Approach
... of linear regression models for three mechanical engineering courses to predict a student’s final exam score from the student’s scores in mid-term ...multivariate linear regression model to ...
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Some Modifications to Calculate Regression Coefficients in Multiple Linear Regression
... a multiple linear regression model, there are instances where one has to update the regression ...calculating regression coefficients in multiple linear regression ...
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Prediction of Heart Disease using Multiple Linear Regression Model
... Hence, Multiple Linear Regression Analysis is performed on trained data to build a model on which test data is ...that Multiple Linear Regression is appropriate for predicting ...
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