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Additional results from OLS regression analysis

Bridging logistic and OLS regression

Bridging logistic and OLS regression

... on OLS is to derive the from the logistic regression results the marginal effects of changes in the independent variables on the dependent ...logistic regression with the intuitive ...

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Bridging logistic and OLS regression

Bridging logistic and OLS regression

... derived from the results of a logistic regression by estimating the female and male probabilities, keeping the values of the rest of independent variables equal to ...

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Physical exercise and social inequality in Norway: a comparison of OLS and quantile regression analysis

Physical exercise and social inequality in Norway: a comparison of OLS and quantile regression analysis

... apparent from this data, there are clear tendencies for various social groups to be attracted to certain forms of physical ...traditional OLS regression, but in doing so also points towards a need ...

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Comparison of Parametric (OLS) and Non-Parametric   (THEIL’S) Linear Regression

Comparison of Parametric (OLS) and Non-Parametric (THEIL’S) Linear Regression

... squares regression method for fitting an equation into a set of (x,y)-data points using the Anderson-Darling ...collected from a trader in Dauglas Owerri Market in Imo State Nigeria who sales ...boxes ...

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The Empirical Analysis of the Influence of Urban Innovation Ability on the Economic growth Based on the Least Square Regression Model (OLS)

The Empirical Analysis of the Influence of Urban Innovation Ability on the Economic growth Based on the Least Square Regression Model (OLS)

... transformed from the factor-driven development to the innovation-driven ...squares regression model is set up, and the results are as follows: First, the increase of urban R&D investment can ...

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Comparison of results of visitor arrival monitoring using regression analysis

Comparison of results of visitor arrival monitoring using regression analysis

... original regression model included 24 data ...graphical analysis in particular, which was also identified as a suitable method by Meloun and Militký ...the results, we can say that the results ...

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Regularization in Symbolic Regression by an Additional Fitness Objective

Regularization in Symbolic Regression by an Additional Fitness Objective

... an additional fitness objective is used as is done in this ...The results from this paper indicate a decrease in average tree size when compared with standard GP although their was no statistical ...

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Institutions and growth revisited: OLS, 2SLS, G2SLS random effects IV regression and panel fixed (within) IV regression with cross country data

Institutions and growth revisited: OLS, 2SLS, G2SLS random effects IV regression and panel fixed (within) IV regression with cross country data

... that OLS won the battle and is better estimator than OLS , since it has better results in Hausman test and 2SLS did not show good overidentification ...test. From the below scatters it is ...

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Sources of Error in Meta-Analysis Results in Industrial and Organizational Psychology: An Application of Meta-Regression Analysis.

Sources of Error in Meta-Analysis Results in Industrial and Organizational Psychology: An Application of Meta-Regression Analysis.

... the results of this study suggest that consumers should be selective and informed regarding strengths and pitfalls of ...the results of a meta-analysis, researchers should educate themselves on the ...

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Application of regression analysis and classification trees in calculating additional population risk of ischemic heart disease

Application of regression analysis and classification trees in calculating additional population risk of ischemic heart disease

... gression analysis and decision trees) differ- ence in load in age-sex groups in comparison with the overall sampling changes from negative values in age groups up to 45 years (inclusive), to positive values ...

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Risk of cardiovascular disease morbidity and mortality in frail and pre-frail older adults: Results from a meta-analysis and exploratory meta-regression analysis

Risk of cardiovascular disease morbidity and mortality in frail and pre-frail older adults: Results from a meta-analysis and exploratory meta-regression analysis

... topic from prospective studies is limited,(Stone et ...an additional role in the development of CVD since these people, for example, usually have lower IGF-1(Cappola et ...

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The importance of univariate logistic regression analysis in logistic regression analysis

The importance of univariate logistic regression analysis in logistic regression analysis

... 4. Application 4.1. Data The data of this study, which achieved as retrospective and case-control research, is based on the results which obtained from the cardiology and other services of Yildirim Beyazit ...
Analysis of the Invariance and Generalizability of Multiple Linear Regression Model Results Obtained from Maslach Burnout Scale through Jackknife Method

Analysis of the Invariance and Generalizability of Multiple Linear Regression Model Results Obtained from Maslach Burnout Scale through Jackknife Method

... linear regression method for the data set with a small sample, Jackknife Me- thod was used to obtain real-like, strong and valid ...linear regression models were formed, parameter estimations of explanatory ...

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Multivariable regression analysis of list experiment data on abortion: results from a large, randomly-selected population based study in Liberia

Multivariable regression analysis of list experiment data on abortion: results from a large, randomly-selected population based study in Liberia

... multivariable regression estimators for the analysis of list experiment data, to explore relationships between respondent characteristics and having had an abortion – an important component of understanding ...

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Predicting research use in a public health policy environment: results of a logistic regression analysis

Predicting research use in a public health policy environment: results of a logistic regression analysis

... extracted from the Qualtrics programs as a Statistical Package for the Social Sciences version 20 (SPSS) data file and analysed in ...tic regression was undertaken to determine which factors predict use of ...

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SIGNIFICANT INDICATORS OF LOW COST HOUSING DEMAND: COMPARISON BETWEEN RESULTS OBTAINED FROM PRINCIPAL COMPONENT ANALYSIS, BACK ELIMINATION AND REGRESSION ANALYSIS METHODS

SIGNIFICANT INDICATORS OF LOW COST HOUSING DEMAND: COMPARISON BETWEEN RESULTS OBTAINED FROM PRINCIPAL COMPONENT ANALYSIS, BACK ELIMINATION AND REGRESSION ANALYSIS METHODS

... multiple regression, in which the dependent indicator is predicted by a linear combination of the possible explanatory indicators is to leads the multiple ...the regression equation will be as PEFR = b0 + ...

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LOGISTIC REGRESSION ANALYSIS OF INFANT MORTALITY: EVIDENCE FROM GHANA

LOGISTIC REGRESSION ANALYSIS OF INFANT MORTALITY: EVIDENCE FROM GHANA

... Logistic Regression was adopted to analyse data from questionnaires administered in five community clinics of the ...child, results show that this model was not very informative given its overly poor ...

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A. Multiple regression analysis

A. Multiple regression analysis

... construction cost. The data were collected from 71 building construction projects in Gaza Strip, Palestine. Seven variables are used as the input variables of the model including ground floor area, typical floor ...

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Linear Regression Analysis

Linear Regression Analysis

... algorithms, results from stepwise procedures are sample-specific and unlikely to ...selection results unlikely to ...Diagnostic results may suggest further modifications of the ...

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An Introduction to Regression Analysis

An Introduction to Regression Analysis

... to Regression Analysis results remain hidden, and conceivably shielded from discovery by the work product ...use regression analysis in litigation tend to report results ...

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