multiple regression analysis

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

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.

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

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

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

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

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.

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

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

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

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

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

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

Application of Multiple Regression Analysis in Transition Probability Estimation

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

Multiple Regression Analysis, Multiple regression analysis

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

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

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

Multiple Regression Analysis of Drought Tolerance Coefficients in Maize

The stepwise multiple regression analysis of dangerous factors of root caries

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

Prediction of Incident Duration Based on Multiple Regression Analysis

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%;