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Linear regression demonstrating the relationship between

A linear regression modelling of the relationship between initial estimated and final achieved construction time in South Africa

A linear regression modelling of the relationship between initial estimated and final achieved construction time in South Africa

... the relationship between initial and final contract time with the aim of developing an equation for reasonably estimating project ...including regression analysis, was used to evolve, inter alia, a ...

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Linear Regression

Linear Regression

... exists between treatment and center; if the treatment is found effective, nevertheless, more or less across different medical centers, then we say interaction exists between treatment and center and ...

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Is it for donors or locals? The relationship between stakeholder interests and demonstrating results in International Development

Is it for donors or locals? The relationship between stakeholder interests and demonstrating results in International Development

... mismatch between expected results and actual results is not unusual, and may require a review of the use of monitoring data, the type of data collected and the definition of the causal relationship ...

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The Non Linear Relationship between Electricity Consumption and Temperature in Taiwan: An Application for STR (Smooth Transition Regression) Model

The Non Linear Relationship between Electricity Consumption and Temperature in Taiwan: An Application for STR (Smooth Transition Regression) Model

... sition regression (STR) model and the monthly time-series data from 1983 to ...non-linear relationship be- tween electricity consumption and temperature in ...

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Comparing machine learning classifiers and linear/logistic regression to explore the relationship between hand dimensions and demographic characteristics

Comparing machine learning classifiers and linear/logistic regression to explore the relationship between hand dimensions and demographic characteristics

... The human hand offers a rich seam of anatomical characteristics that are easily obtainable and measurable [5]. Furthermore, hand length measures do not require invasive techniques to collect, and they can even be ...

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Is the relationship between in ation and its uncertainty linear?

Is the relationship between in ation and its uncertainty linear?

... 1 Introduction The issue of the welfare costs of in‡ation has been one of the most researched topics in macroeconomics both on the theoretical and empirical front. Friedman (1977) argues that a rise in the average rate ...

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Organizational culture and customer relationship management: a simple linear regression analysis

Organizational culture and customer relationship management: a simple linear regression analysis

... were between the ages of 30 and ...the relationship between two research ...liner regression analysis is conducted. Regression analysis first confirmed by testing the assumptions of ...

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CHAPTER 13 SIMPLE LINEAR REGRESSION. Opening Example. Simple Regression. Linear Regression

CHAPTER 13 SIMPLE LINEAR REGRESSION. Opening Example. Simple Regression. Linear Regression

... Simple Regression Definition A regression model is a mathematical equation that describes the relationship between two or more ...simple regression model includes only two variables: ...

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Fuzzy Linear Regression to Overcome Assumption Violation Problems in Relationship between Rupee Exchange Rate and Gold Reserve with RBI

Fuzzy Linear Regression to Overcome Assumption Violation Problems in Relationship between Rupee Exchange Rate and Gold Reserve with RBI

... Abstract. Fuzzy set theory has been applied in many fields such as engineering, control theory and life sciences etc. The fuzzy numbers and fuzzy values are widely used in statistical applications because of their ...

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Linear regression and ANOVA

Linear regression and ANOVA

... 4.4.6 DFFITS Example: See 4.7.3 DFFITS are a standardized function of the difference between the predicted value for the observation when it is included in the dataset and when (only) it is excluded from the ...

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Linear Regression Analysis

Linear Regression Analysis

... Among all three stepwise selection procedures, the stepwise search algo- rithm performs best, although computationally the backward elimination algorithm is the fastest one. One should be very careful with these ...

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Introduction to Linear Regression

Introduction to Linear Regression

... Now we consider a test we will call “Test A” that is partly chance and partly skill: Instead of predicting the outcomes of 12 coin flips, each subject predicts the outcomes of 6 coin flips and answers 6 true/false ...

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Tuning as Linear Regression

Tuning as Linear Regression

... and linear re- gression are different in the sense that the latter two approaches take into account rankings of the k-best list, whereas MERT is only concerned with separat- ing the top 1-best sentence from the ...

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Robust linear regression

Robust linear regression

... compromise between USA data and the rest, while the fitted lines for the other two estimates almost overlap and give a better representation of the majority of the ...

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Simple Linear Regression

Simple Linear Regression

... a linear relationship is not appropriate for this data — it’s hard to tell what’s going on since a single observation seems to dominate the choice of axes on the ...strong linear relationship ...

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SIMPLE LINEAR REGRESSION

SIMPLE LINEAR REGRESSION

... The strength of the linear relationship between Y and X can also be assessed directly from the examination of the scatter plot of Y versus X together with the corresponding value [r] ...

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The relationship of malaria between Chinese side and Myanmar’s five special regions along China–Myanmar border: a linear regression analysis

The relationship of malaria between Chinese side and Myanmar’s five special regions along China–Myanmar border: a linear regression analysis

... regions between January and March (dry season, ...regions between September and November (rainy season, ...ship between two places, not seasonal ...the linear regression ...The ...

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Comparison between multiple linear regression and fuzzy
C regression models towards scale of health in ICU

Comparison between multiple linear regression and fuzzy C regression models towards scale of health in ICU

... 6 Conclusion The FCRM models introduced by Harthway and Bezdek are one of the great methods in analyzing a continuous and categorical data. In addition, there are no assumptions needed in this analysis. This model is ...

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Linear Support Vector Regression with Linear Constraints

Linear Support Vector Regression with Linear Constraints

... field, regression algorithms have been used to estimate the proportions of cell populations that are present inside a ...interactions between the cells and the cancer treatment called immunotherapy ...a ...

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