multiple regression

Hierarchical multiple regression analysis revealed that expectations being fulfilled was the most significant predictor of global outcome.

The first semester of this module introduces you to the technique of multiple regression modelling.

Take the cement -flyash as the example, applies the multiple regression analysis method establishment intensity regression equation.

Data collected were analyzed with exploratory and confirmatory factor analysis, multiple regression analysis, and descriptive statistics.

The correlation coefficients and path coefficients were calculated by correlation analysis, path analysis and multiple regression analysis.

The stepwise multiple regression statistics method was used to analyze all collected data.

Conclusions: The multiple regression analysis may predict unknown variable from known variables in morphological application.

The results indicate that the prediction performance of neural network is superior to multiple regression equations.

The research on layout features of handwriting and their relations with personality have also been adopted by multiple regression methods.

Multiple regression analysis showed the octahedral shear stress may play a important role in increasing the cartilage surface roughness.

The statistical analysis of moderators and mediators in multiple regression is briefly described and two examples are presented.

I would also create an mr directory to house PHP code that implements the input, logic, and output methods for multiple regression analysis.

So the multiple regression is expected to be used in the further study.

Then the paper will research various factors on the level of environmental information disclosure through multiple regression analysis.

anova, correlation analysis and multiple regression analysis.

The data was analyzed by one way ANOVA, Pearson's product-moment correlation and multiple regression.

The mathematical models were built by using multiple regression analysis and artificial neural networks and the results were compared.

Multiple regression was used to analyze the data.

Accordingly, the end for multiple regression as against linear regression appeared quite reasonable.

This table becomes even more useful in Multiple Regression contexts in which each independent variable has a row in the table.

then, multiple regression models to simulate the demand of potassium fertilizer.

Using multiple regression analysis for comparing the rice yield in different areas of Yunnan.

Note that education is controlled for in the ordinal multiple regression analysis.

Methods: A predicting model of multiple regression analysis was established under the basis of X ray measurement.

Based on the current study, a combination be the empirical analysis which are factor analysis and multiple regression analysis.

The influencing factors of technical efficiency were analyzed by using the methods of multiple regression analysis.

At multiple regression, we mainly introduce the method of partial least-squares.

Next uses multiple regression analysis to test the mediator effect of brand trust.

We also forecast the gas content by multiple regression.

Because of the intra-class correlation, the traditional multiple regression equations would lead to the problem of biased estimated value.

This research examined the hypothesis of the study by multiple regression.

Multiple regression analysis of the influencing factors on glomerular filtration rate of diabetic nephropathy

Study on the Relationship between the Concentration of Characteristic Organic Compounds and Red Tide by Multiple Regression

appling multiple regression analysis method, the accelerometer pulse equivalent, installation error and bias are calibrated;

Diagnosing Collinearity-influential Observation in Multiple Regression

Retrieving TSM Concentration From Multispectral Satellite Data by Multiple Regression and Artificial Neural Networks

established multiple regression model and BP neural network model of the groundwater level and predict the groundwater level;

Chengdu; leading enterprise; owner's benefit; multiple regression; policy recommendations;

Application of Multiple Regression Analysis on the Expectation of Atmosphere Environment Pollution Accidents

Application of artificial neural network and multiple regression analysis to optimization of exploration prospects

Application Comparison between Multiple Regression and Grey Relational Mathematical Model

Principal component and multiple regression analysis in modelling of ground-level ozone and factors affecting its concentrations

Appling Multiple Collinearity Diagnosis in Multiple Regression to Analyse the Pathogenic Causes of Infantile Dental Caries

Optimal Multiple Regression Model with Constraints and its Application

Solar cycle variation of stratospheric ozone: Multiple regression analysis of long-term satellite data sets and comparisons with models

Strong Consistency of The Weight Function Estimator in Multiple Regression with Dependent Errors

Application of Multiple Regression Analysis in Transition Probability Estimation

Multiple regression analyses on psychological health levels in junior school graduates admitted senior schools

Judgement on prognosis of neonatal hypoxic ischemic encephalopathy by multiple regression analysis

Multiple Regression Analysis, Multiple regression analysis

Mathematical model and multiple regression equation for calculating segmental mass of Chinese young female bodies

The Multiple Regression Analysis on the Influence of Life Quality Factors of Postmenopausal Osteoporosis

Multiple regression analysis of ankle-brachial index risk factors in high-risk population with peripheral arterial disease

Multiple Regression Analysis on the Relations between Filling Speed and Main Processing Parameters of Lost Foam Cast Iron Casting

Listed Company; Cash Dividend; Dividend Policy; Multiple Regression Analysis;

Determine the Rock Compressibility by the Multiple Regression Analysis Method

Furthermore, the multiple regression analyses results also supported our hypothesis that

Injection Allocation Rate Determination of Well Groups Using Multiple Regression Method

Determination of medical reference ranges by the method of multiple regression equations

Multiple regression analysis on the rebound rate of total bilirubin after ALSS and correlation analysis on the prognosis

Multiple regression and stepwise regression is realized in the database language with the relation

An Improved Multiple Regression Analysis for Estimating Gene Regulatory Network

Research for Multiple Regression Analysis Method of Dependability on Maintenance Staff in Outfield

Multiple Regression Analysis Method for Weibull Distribution

The multiple regression analysis of the factors influencing urinary albumin excretion in type 2 diabetes mellitus

Application of Set Pair Analysis to Fuzzy Predictors of Multiple Regression Weather Forcast Models

Multiple Regression Analysis of Drought Tolerance Coefficients in Maize

Surprisingly, the multiple regression analyses results found that

Fitting Of Relational Expression Of Saturated Vapor Pressure And Temperature Of Water By Multiple Regression

Linear Multiple Regression for Domestic Water Demand Forecasting in Beijing

Multiple regression and cluster analysis of protein components of maize kernels

Dominance Analysis: Method for Determining Relative Importance of Predictors in Multiple Regression Model

Multiple Regression and Path Analysis of Maize Hybrid'Main Agronomic Character

The stepwise multiple regression analysis of dangerous factors of root caries

Generalized equation of multiple regression

Application of Multiple Regression to the Prediction of Apoplexy Risk

Multiple regression analyses on anxiety of female students in nursing school

The Multiple Regression Model of Librarians'Job Satisfaction

Calibration Techniques for Strapdown Inertial Measurement Units Based on Multiple Regression Model

The Predictive Model of the Tunnel Collapse Height Based on BP Artificial Neural Network and Multiple Regression

Multiple Regression and Issues in Regression Analysis

A Multiple Regression Method for the Forecast of Letter Volume

Application of Multiple Regression Analysis to Platen Temperature Field of Electrical Press

Least square estimation of multiple regression

Prediction of Incident Duration Based on Multiple Regression Analysis

Multiple Regression: The Nature of the Beer Market

Multiple Regression Control Model Based on Genetic Arithmetic for Car-engines

Rolling wear model of high-vanadium high-speed steel based on multiple regression analysis

Forecasting the Gross of Public Health Subsidy by Using Multiple Regression Analysis in China

The results show that, the veracity of model No. 1 based on least square multiple regression analysis reaches 81. 6%;