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Multiple Linear Regression (M-L R)

Application of Multiple Linear Regression Technique to Predict Noise Pollution Levels and Their Spatial Patterns in the Tarkwa Mining Community of Ghana

Application of Multiple Linear Regression Technique to Predict Noise Pollution Levels and Their Spatial Patterns in the Tarkwa Mining Community of Ghana

... Abstract: Predicting and preventing intraurban noise levels in our communities are very challenging for urban planning, epidemiological studies and environmental management, especially in the developing world. Most ...

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Prediction of Heart Disease using Multiple Linear Regression Model

Prediction of Heart Disease using Multiple Linear Regression Model

... Abstract—According to the American Heart association, heart disease kills one person every 40 seconds. In the field of Medical Science, Heart disease predation is one of the growing areas for prediction. Huge amount of ...

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Pile design using Multiple Linear 
		Regression model

Pile design using Multiple Linear Regression model

... There is a marked increase in the use of statistic and its methods in representing the complex relationship between factors in geotechnical engineering. In this paper “ Multiple Linear Regression ” ...

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Forecasting gold prices using multiple linear regression method

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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Bridge Construction Cost Prediction using Multiple Linear Regression

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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Multiple Linear Regression for Extracting Phrase Translation Pairs

Multiple Linear Regression for Extracting Phrase Translation Pairs

... difference. Multiple linear regression model combined with N-best strategy will be employed to filter phrase translation pairs, in order to improve the evaluating and filtering ...After ...

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Comparative Evaluation of Multiple Linear Regression and Support vector Machine aided Linear and Non

Comparative Evaluation of Multiple Linear Regression and Support vector Machine aided Linear and Non

... . Linear QSAR models were developed, using the most simple and popular method multiple linear regression and support vector machine aided linear method while non-linear QSAR ...

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EXAMINATION OF MULTIVARIATE MULTIPLE LINEAR REGRESSION ANALYSIS

EXAMINATION OF MULTIVARIATE MULTIPLE LINEAR REGRESSION ANALYSIS

... multivariate multiple linear regression coefficients, the null hypothesis is established as if there is no linear relation between the dependent and independent variable sets or as if all the ...

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Modelling and Forecasting of Residential Electricity Consumption in Nigeria Using Multiple Linear Regression Model and Quadratic Regression Model with Interactions

Modelling and Forecasting of Residential Electricity Consumption in Nigeria Using Multiple Linear Regression Model and Quadratic Regression Model with Interactions

... In this paper, modelling of the yearly average residential electricity consumptions in Nigeria is done using multiple linear regression model and quadratic regression with interaction model. ...

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Determination of critical properties of Alkanes derivatives using multiple linear regression

Determination of critical properties of Alkanes derivatives using multiple linear regression

... of multiple linear regression was applied for the first time to find out the most appropriate molecular descriptors in order to estimate critical temperature, critical pressure and critical volume of ...

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A study of partial F tests for multiple linear regression models

A study of partial F tests for multiple linear regression models

... Partial F tests play a central role in model selections in multiple linear regression models. This paper studies the partial F tests from the view point of simultaneous confidence bands. It first ...

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Two-stage source tracking method using a multiple linear regression model in the expanded phase domain

Two-stage source tracking method using a multiple linear regression model in the expanded phase domain

... a multiple linear regression model is also proposed, which is more efficient and generally applic- able to IPD-based methodologies but does not require any complicated phase wrapping ...

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Multiple linear regression and neural network for electric load forecasting

Multiple linear regression and neural network for electric load forecasting

... After considering the data's pattern and appropriateness of the models with the data, the only time series models that will be considered in this study are the Holt Winter's, multiple linear regressions, ...

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Application and Integration of Multiple Linear Regression and Linear Programming in Renewable Resource Analyses.

Application and Integration of Multiple Linear Regression and Linear Programming in Renewable Resource Analyses.

... The objective function and constraints of fhe linear programming model for determination of site characteristics (Xi) for optimum crude protein yield (Y 1. Also, th[r] ...

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Application of fuzzy linear regression models for predicting tumor size of colorectal cancer in Malaysia’s hospital

Application of fuzzy linear regression models for predicting tumor size of colorectal cancer in Malaysia’s hospital

... Lavdaniti et al. (2012) developed an evaluation of depression level in colorectal cancer patients. They stated colon cancer is the third most common cancer in male and female and depression is the most factor related to ...

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Browse Title Index

Browse Title Index

... Approach: Multiple Correlation and Multiple Linear Regression were carried out to assess linear associations and parameters of linear equations to predict OO components based on ...

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Study of correlation of CBR value with engineering properties and index properties of coarse grained soil

Study of correlation of CBR value with engineering properties and index properties of coarse grained soil

... study, regression models, both simple linear regression analysis (SLRA) and multiple linear regression analysis (MLRA), were developed for determining soaked CBR value using ...

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Emotional Dissonance And Personality Traits As Predictors Of Psychological Wellbeing Among Nurses In Makurdi Metropolis

Emotional Dissonance And Personality Traits As Predictors Of Psychological Wellbeing Among Nurses In Makurdi Metropolis

... simple linear analysis showed that emotional dissonance significantly predicted psychological wellbeing among nurses in Makurdi metropolis ...negatively. Multiple linear regression also ...

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Vegetation Water Content Prediction: Towards More Relevant Explicatory Waveband Variables

Vegetation Water Content Prediction: Towards More Relevant Explicatory Waveband Variables

... Squares Regression and Stepwise Multiple Linear Regression, to uncover hidden wavebands that may help predict or estimate the canopy vegetation water ...between multiple wavelengths of ...

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Relative metabolic utilization of in situ rabbit soleus muscle: thermistor based measurements and model

Relative metabolic utilization of in situ rabbit soleus muscle: thermistor based measurements and model

... applications. Multiple linear regression analysis identified contraction duration, active tension and work output as significant variables related to metabolic utilization during cyclic ...

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