regression analysis

It is shown that the results of linear regression analysis are highly consistent with that of Input-Output method.

Non-parameter test and regression analysis had been used to efficacy and safety of amlodipine terazosin and its combination therapy.

The regression analysis revealed the elasticity of every independent variable to foreign investment.

By our logistic regression analysis, the age of pregnancy might be associated with type 1 diabetes.

Multivariate logistic regression analysis revealed that hyperuricemia was an independent risk factor of CAD.

Multiple logistic regression analysis was used to identify factors associated with a good outcome.

By means of regression analysis of the experimental data. a empirical formula on the lining friction coefficient of hoist is developed.

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

With binary logistic regression analysis to CHD, to evaluate whether serum uric acid is an independent risk factor of CHD or not.

The result of logistic regression analysis indicated that serum bilirubin, uric acid were the independent risk factors.

Regression analysis showed that the stemflow, throughfall, and interception of the shrubs had logarithmic correlation with rainfall.

and with regression analysis to discover the impact of the brand satisfaction to the brand loyalty.

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

Multiple stepwise regression analysis indicates objective support is the main protective factor affecting prenatal depression level.

The example shows that it is feasible that the theories of grey correlation and regression analysis is used for social power consumption.

A regression analysis method is then used to capture key factors affecting the operation efficiency of military hospitals.

Cox regression analysis was carried out with adjustment for known clinical predictors and other lifestyle factors.

The questionnaire descriptive statistical analysis, the difference analysis, correlation analysis and regression analysis.

The best fitting agreement models and its parameters were evaluated by nonlinear regression analysis.

Multiple linear regression analysis was used to measure the relevance of the information.

Quantile regression analysis of the rational addiction model: investigating heterogeneity in forward-looking behavior.

On this basis, the relationship between labor force participation rates and economic growth is researched using of regression analysis.

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

Descriptive statistical analysis, reliability and validity analysis, factor analysis, regression analysis were adopted in analysis.

Evidences include some of the major multi-variable tests, a single variable T tests, trend analysis and multiple linear regression analysis.

Multivariate regression analysis showed the type of hepatic virus was a dependent of Influential factors of prognosis.

Although regression analysis deals with the dependence of one variable on other variables, it does not necessarily imply causation.

a smooth curve fitted to the set of paired data in regression analysis; for linear regression the curve is a straight line.

Results of regression analysis show that the quality of social responsibility reports positive affect the market reaction significantly.

Parameters of mathematical models have been obtained by the regression analysis on the experimental data.

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

Duties: domestic and international literature review to examine the collection of data collation, statistical software regression analysis.

Mainly adopts the single factor variance analysis, the T-test, the regression analysis to carry on the data analysis and processing.

The equation for K value in this paper is derived by means of regression analysis on other scholars' data.

By means of regression analysis, the values of creep parameters of frozen clay are obtained.

The mechanism affecting the entrepreneurial opportunity identification was analyzed by multi-regression analysis method.

Usually people used to use regression analysis to deal with these problems.

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

The results showed that the analytical calculation outcome of nonlinear regression analysis model was are scientific and reasonable.

A number of primary independent variables influencing pedestrian LOS was identified and tested in the stepwise regression analysis.

The clinical information were compared and logistic regression analysis was performed in two groups.

The empirical equation of milling force is achieved by regression analysis method, and proved to be tried.

Correlation and regression analysis showed that parental rearing pattern obviously affected self consistency and congruence.

The regression analysis result shows that both the weight of Safflower powder and the number of complete cell are significantly correlated.

Result: Regression analysis data suggest that debt financing had a crowding-out effect on uncompensated care service.

Because of the high complexity of these relations, conventional regression analysis is not sufficient to build an accurate model.

At last, we make empirical research by the marketing survey, regression analysis, association analysis on the cognitive model above.

Stable and global variables entered the equations of depression, anxiety, obsession and compulsion in multiple linear regression analysis.

The correlation between temperature and electricity load is studied by correlation coefficient, scatter plot and regression analysis.

The correlations of flooding velocity and characteristic velocity were obtained respectively by regression analysis.

Finally, after Level regression analysis, founded the cultural identity has intermediary effect to the national impression.

Then, regression analysis, further analysis on the Yangzhou County Economic Competitiveness specific factors.

Using threshold regression analysis, we isolate three regimes that exhibit different associations between recency and stock return.

Trendlines are used for the study of problems of prediction , also called regression analysis .

Age, top temperature and operation history of midsection were correlated with longer duration of hospitalization by COX regression analysis.

Regression analysis is of importance in tunnel deformation detection.

The scores of each items with the two scales' make multiple linear regression analysis, all of the 27 items enter the equation.

Compared with the ARIMA, regression analysis, gray model, support vector machines and neural network prediction methods.

Regarding the classical models of regression analysis, people generally assume that its response variable is the continual variable.

Logistic regression analysis indicated that female was a significant risk factor associated with perifoveal PVD.

With regression analysis, a mathematics model of both simple linear and multiple linear regressions were established.

Meanwhile, by using the Regression Analysis Method, finding out the relationship between expansion amount of the standard-core and the time.

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

The results of multiple liner regression analysis indicated that gender, origin and specialty bed a relation with nutritional knowledge.

With correlation analysis, regression analysis, path analysis, we tested the relationship among variables.

Cox regression analysis of factors predicting the hemorrhage risk of cerebral arteriovenous malformations.

We also discuss methods for inferring causality and interactions using lagged correlations and regression analysis.

Objective To explore the practicability of application of stepwise regression analysis for predicting the full-term fetal weight.

The calibration equations obtained from the regression analysis method were established to improve the accuracy as necessary.

The equation for resistance estimate for different dead rise angles is obtained by the regression analysis method.

Linear regression analysis is the most common and useful method to assess the varietal stability in a regional trial.

Multivariable regression analysis was performed to identify demographic predictors of tobacco use.

Through the independent variable regression analysis to verify the correctness of assumptions of the three mentioned above.

Regression analysis was used to test the hypotheses in a sample of 105 Taiwanese firms.

This survival difference persisted after multiple logistic regression analysis.

The related factors were analyzed with single factor analysis and multivariate stepwise regression analysis.

Regression analysis also showed that global, academic and social self-esteem play significant prediction effects on the pride.

Data of filling quantity at various conditions were analyzed to establish a prediction model by regression analysis technique.

If the variance is not homogeneous and unknown, the regression analysis will meet many questions.

By correlation and regression analysis, all three hypotheses proposed by this study are supported.

But regression analysis shows that individual organizational identification can effectively predict the level of their well-being .

The relationship between ultrasonic velocity and compression strength was set up by regression analysis of the testing data.

Resources contains pointers to several advanced texts that you can consult for more information on regression analysis.

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

Methods The influencing factors of relative mental health status were selected by stepwise regression analysis.

The results driven from regression analysis were verified by correlation analysis and covariance analysis.

Use the model survey, analysis of variance, regression analysis, Correlations and Residual analysis to analyse the model.

fetal macrosomia; birth weight; time; regression analysis; sequence analysis.

More suitable method establishing unit model orientating planning is regression analysis.

Conclusion: Cluster regression analysis is more effective to deal with non-normal distribution data and multi-collinearity.

with multivariate stepwise regression analysis, CAS full score may predict the learning achievement.

Association between variables was examined by multiple logistic regression analysis and odds ratios.

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

The results of regression analysis show that air temperature is the prime and vital factor on influencing leaf temperature.

A regression analysis confirms the causal relationships between dimensionalities of image and those of tourist loyalty.

This implicates that observations are correlated and that statistical techniques, such as linear regression analysis cannot be used.

The results of the test obtained are in good agreement with the linear regression analysis.

By bringing the under-pricing rate as explanatory variables into the regression analysis model, the paper has combined the both excellently.

The research can estimate the intention of Taipei Junior high school students through regression analysis.

Driving force of forest area changes in Changsha city was analyzed by principal component regression analysis.

The key parameter in this method is deduced with regression analysis of laboratory data collected from various sources.

The correlation between peak bone mass and age, body weight or grasp force were analyzed by stepwise regression analysis.

Using correlation analysis, regression analysis and other methods to test research hypothesis, and reversed the empirical model.

When applying regression analysis , people sometimes find a relationship between two variables that , in fact, have no common bond .

anova, correlation analysis and multiple regression analysis.

The team used logistic regression analysis to test the influence of the season (spring) in the results.

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

Regression analysis showed that the independent risk factor of post-polypectomy hemorrhage is hypertension(p01).

Descriptive statistics, Chi-Square test and multi-regression analysis were utilized in the analysis.

Chapter II briefly introduce the linear regression analysis theory and methods of calculation.

Second, we used the regression analysis to test the direct impact of goal orientation on innovative work behavior.

Regression analysis showed that psychological health can predict coping style well.

Through the use of spot prices and futures prices of historical data, to do regression analysis can achieve.

By regression analysis, a formula for calculating elastic buckling moment of plate with holes is obtained.

The method of fastest optimizing algorithm and nonlinear regression analysis is utilized to seek answer by using VB computer language.

The methodology proposed relies on regression analysis of the overall degradation level of the cases assessed.

Instead of creating a straight line, logistic regression analysis creates an "S" shaped curve that contains maximum and minimum constraints.

The relevant cost drivers for residential properties in Germany are identified by using regression analysis.

Second, making regression analysis based on experimental measurements, to derive the empirical formula of the cutting force.

the regression formula of multi-parameters are gotten through regression analysis.

The relation between FMD and coronary lesions was analyzed by Logistic regression analysis.

We used multivariable Cox regression analysis to assess the hazard ratios associated with 1 standard deviation higher blood pressure.

Binary regression analysis has been effectively reflect the status, enterprises'production amphidromes enterprises'development ideologica.

Cox regression analysis found that only age, creatinine level and complication with MS had significant influence on fatality rate (P05).

Consult textbooks by Hamilton, Neter, or Pedhauzeur for more advanced treatment of regression analysis (see Resources).

The robust regression analysis (RRA) is such one kind quite commonly used and the effective data actuation method.

We use SPSS to count the processing, the analysis method is mainly the variance analysis and the regression analysis.

The correlation of the Lequesne index and X-ray manifestation was analyzed by logistic regression analysis.

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

The paper use the logic of regression analysis in ancient Greece to explore the origins of dialectics and the true meaning.

In the theory and applied research of economic and management, regression analysis is widely used.

Some results here are also useful for some other important parts of regression analysis, such as residual analysis and diagnostics.

Through regression analysis, a formulae of bitting profile error is given for reference.

Regression analysis showed that the main factor affected grain weight was filling rate. 2.

In the linear regression analysis knew the leisure motivation has the forward correlation to leisure benefits.

The regression analysis supported the results of above correlation study.

MethodsThe potential factors which may cause PCO were analyzed with multiple stepwise regression analysis.

From the drying results (moisture vs. time) and nonlinear regression analysis technique, Mde values could be obtained easily.

A meta-regression analysis is observational in nature and may suffer from confounding bias.

Biased estimate methods are basic methods of modern regression analysis.

Then had a regression analysis of force data using the EXCEL software to establish the 3A21 regression model of cutting force.

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

The collected data were analyzed by multiple stepwise regression analysis and t-test.

Article on the life insurance premium income analysis and technical support -- have made multiple linear regression analysis and research.

Use factor analysis to build a rating system to evaluate the model. Use regression analysis to test the score model.

The regression analysis results show that the existing pattern of trade for their economic growth has a promoting effect.

According to the results of regression analysis, job satisfaction has a greater effect on turnover intention than career commitment.

A linear stepwise regression analysis indicated that serum MIC-1 was independently associated with age, FPG and gender.

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

The method is not only used for single variable regression analysis, but also multiple analysis.

The data were analyzed by hierarchical regression analysis.

Based on the actual observation data, the exponential smoothing and nonlinear regression analysis are integrated.

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

COX regression analysis demonstrated TNM stage and estrogen receptor were related to survival rates.

Chapter 4 is the result and verification of empirical study, with factor analysis, regression analysis, and robustness test.

regression analysis showed that the three factors of competitive anxiety cannot predict the oerformance of competition level.

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

Regression analysis confirms that US debt maturities over the period 1946-2008 are not responsive to inflation.

By using the methods of grey relational analysis, stepwise regression analysis and key part analysis find the key factors.

In this article, non-linear regression analysis method is discussed.

As stock market is a kind of complex non-linear dynamic system, the traditional regression analysis is unsatisfactory.

Event study method and regression analysis were employed.

Then, this paper continues to testify the model by regression analysis.

By using regression analysis method, the coefficient was obtained.

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

The experimental time was set for 7200s, 100 experimental data were collected and treated by one linear regression analysis.

ObjectiveTo explore the related factors with plasma neuropeptide Y in 180 normal healthy people by stepwise regression analysis.

By regression analysis, the relation of accumulative dry shrinkage amount with time and accumulative water loss rate was got.

Based on the order statistics of incomplete data, a regression analysis method for incomplete data is presented.

Based on it, we discussed the effect of customer perceived value on tourist revisit intention through regression analysis and cross-cutting.

Besides, this article also takes such statistical measures as, ANOVA, correlative analysis, regression analysis, and so on.

Based on these correlations, the regional regression analysis model and kirging-interpolating model were established.

This method is a modified model of Statistical Jump Regression Analysis, and also modifies the energy function from L2 to L1.

And based on this, a simple method for performance prediction by using linear regression analysis is put forward.

Correlation Analysis and Hierarchical Regression Analysis to Conduct the study.

At the same time, it also puts forward the key technique, including Clustering Analysis and Regression Analysis.

The risk for influenza A (H5N1) infection was assessed by using adjusted odds ratios based on multivariate logistic regression analysis.

A regression analysis is performed to test the hypothesis by 1952-1960 time series data.

Multiple linear regression analysis indicated that serum glucose had significant effect on serum TXA2 (P=0. 002).

I use mathematical statistics analysis, such as confidence intervals, hypothesis testing, K-means Cluster, regression analysis and so on.

Association of fatty infiltrations with clinical and sonographic features were evaluated by a stepwise logistic regression analysis.

the veracity of model No. 2 based on LOGISTIC regression analysis reaches 86. 2%.

First, we use descriptive methods and regression analysis to study the influence of working capital structure on performance.

Moreover, we make use of descriptive analysis and regression analysis to process panel figures of 31 provinces in China from 1999 to 2007.

Research on the relationship between the cycle and the angle of a simple pendulum with regression analysis method

scientific research organization; human resources accounting; performance evaluate; principal component analysis; regression analysis;

COX Regression Analysis on the Influence Factors for Resolving Time of the Residual Neck Metastasis of NPC after Radiotherapy

Quality of Life as A Time-dependent Covariable in Cox Regression Analysis and Its Application

Stepwise Regression Analysis on Impact Factors of Men Visiting Prostitutes in Recent 7 Days

Study of Near-Infrared Spectra for Quantitative Analysis Using Principal Component-stepwise Regression Analysis

Stepwise regression analysis of factors affecting differentiation, proliferation and metastasis of primary hepatocellular carcinoma

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

Multivariate regression analysis of the clinical correlation between plasma viscosity and erythrocyte sedimentation

Application of the Regression Analysis on the Relationship Between the Domestic Animal Amount and Ecology Factors

An application of multivariate progressive regression analysis to the quantitative structure-toxicity relationships for aniline compounds

An Empirical Research of Regression analysis between the Actual Interest Rate and Final Objects of the Monetary policy

Study of Influential Factors of Expense to Public Health per Capita with Principal Component Regression Analysis

The conditions of collapsibility for an influencing variable in a regression analysis

Multivariate regression analysis of factors influencingsurvival after resection for ductal adenocarcinoma of the head of the pancreas

A Study of Multivariate Linear Regression Analysis Model for Groundwater Quality Evaluation

Multivariate regression analysis of postoperative complications of resection of hepatocellular carcinoma

A Quantitative Study of Income Allotment Disparity among Chinese Citizens on the Basis of Regression Analysis

Multivariate Linear Regression Analysis of the Element Bonding Parameter Topological Index of the Lanthanides and Properties

simple hypothesis composite hypothesis rejection region acceptance domain test statistics linear regression analysis

Cox regression analysis on influencing factors of coronary heart disease among people over 40 years of age

Perennial allergic rhinitis: stepwise regression analysis on the correlation with the efficacy of allergen-specific immunotherapy

Regression analysis of development opportunity and foreign exchange earning capacity of our tourist trades

A study on linear regression model with fuzzy weight and its application to S-N curve in its regression analysis

A Stepwise Regression Analysis of Psychological Health Status of College Students and Its Influencing Factors

Cox multivariate regression analysis of prognostic factors for extrahepatic cholangiocarcinoma

Logistic regression analysis for risk factors of intermediate syndrome after acute organophosphorus pesticides poisoning

Multivariate regression analysis of factors affecting the outbreak and prevalence of bacterial intestinal infectious diseases in schools

The Comparison of Microalbuminuria in Various Glucose Tolerance and Multivariate Regression Analysis on the Risk Factors of Microalbuminuria

Cox Regression Analysis of Factors Influencing Postoperative Survival Rate of Gastric Cancer Patients

Structured Element Theory of Fuzzy Linear Regression Analysis Using Triangular Fuzzy Number Coefficients

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

Improved Regression Analysis and Its Application in Hydrographic Surveying

Multiple Linear Regression Analysis between Defensive Play Ball Rate of Women's Volleyball Players and Their Fitness

Logistic regression analysis of factors associated with hypertension after operation of aldosterone producing adenoma

Study of Regression Analysis Model for Groundwater Quality Prediction

Audit Committee; Corporate governance; Quality of accounting information; Far regression analysis;

A Regression Analysis of the Learning Motivation-behaviour Affecting Factors of English Majors in Vocational Colleges

Chaotic Ant Colony Optimization and its Application in Multi-Linear Regression Analysis Problem

Influence factors and its regression analysis of wet desulfurization technology

Multiple linear regression analysis on influencing factors of quality of life in AIDS patients

Multi-factor Logistic Regression Analysis on Occupational Injuries in Workers of an Iron and Steel Enterprise

Application of stepwise regression analysis in correlation between blood pressure and characteristic parameters of pulse wave in rabbits

Multivariate Linear Regression Analysis of the Element Bonding Parameter of the Lanthanides and Properties

Comparison Higher Education Scale in Different Provinces and Regression Analysis of Their Economic Development

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

regression analysis indicates that basic ability feeling influences physics achievements mostly;

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

Simply Talking about Application of Monadic Linear Regression Analysis, Straight Line Interpolation in Jack Calibration

Application of Multiple Linear Regression Analysis in Prediction of Development Trends for Industry of Industrial Washing Machine

Evaluating Economic Benefits of Enterprises with Principal Components Regression Analysis

Multivariate Regression Analysis for Extracting Technology of Ginkgo Flavonoid Glycosides

Stepwise regression analysis of the influencing factors of mental health status in higher vocational students

Evaluation on hemorrhage factors secondary to endoscopic sinus surgery with multiple stepwise regression analysis

Regression Analysis and Its Applications in Formation Pressure Forecast in Puxi Area, Daqing

Multivariate Regression Analysis of Recurrence Following Curative Surgery for Colorectal Cancer

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

Regression Analysis of Traffic Environmental Carrying Capacity Change in Guangzhou

Multivariate regression analysis on prognostic factors for advanced colorectal carcinoma

The regression analysis of the shear behavior of steel fiber reinforced concrete beams without web reinforcement

Therapy of compounding natural medicines on artificial infected acute avian colibacillosis by Cox regression analysis

Multivariate Logistic Regression Analysis on Risk Factors of Hepatic Encephalopathy in Patients with Acute Sever Hepatitis

Establishment and Preliminary Application of Linear Regression Analysis for ELISA Internal Quality Control

The multivariate logistic regression analysis in patients with extracorporeal shock wave lithotripsy

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

Regression analysis on performance of a subsonic submerged inlet