regression analysis

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Noun1.regression analysis - the use of regression to make quantitative predictions of one variable from the values of another
statistics - a branch of applied mathematics concerned with the collection and interpretation of quantitative data and the use of probability theory to estimate population parameters
multivariate analysis - a generic term for any statistical technique used to analyze data from more than one variable
regression toward the mean, simple regression, statistical regression, regression - the relation between selected values of x and observed values of y (from which the most probable value of y can be predicted for any value of x)
regression equation, regression of y on x - the equation representing the relation between selected values of one variable (x) and observed values of the other (y); it permits the prediction of the most probable values of y
regression curve, regression line - a smooth curve fitted to the set of paired data in regression analysis; for linear regression the curve is a straight line
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Research [9] uses regression analysis for development of model that describes influence of laser power on kerf width, surface roughness, heat affected zone and striation frequency.
Estimation of the Laser Cut Perpendicularity Using Linear Regression Analysis
However, misuse and misinterpretation of results from regression analysis are common in biomedical research.
Two paradoxes in linear regression analysis
Shin Takahashi; THE MANGA GUIDE TO REGRESSION ANALYSIS; No Starch Press (Comics & Graphic Novels: Comics & Graphic Novels) 24.95 ISBN: 9781593277284
The Manga Guide to Regression Analysis
The results of their Regression analysis showed a significant negative relationship of EBIT with Cash Conversion Cycle.
Does Efficient Management of Working Capital have a Parallel Impact on the Profitability of Small and Large Firms?
As a result of the stepwise multiple regression analysis where factors predicting preservice teachers' attitudes towards technology, it was found that duration of daily internet use was the strongest predictor of attitudes towards technology.
Analyzing Preservice Teachers' Attitudes towards Technology
RMS is partnering with Strategic Compliance Partners (SCP) and Offit Kurman to assist in conducting a fair lending regression analysis unlike any other program available today.
RMS Announces New Strategic Partnership for Fair Lending
Objective of this study was to determine the most important cotton quality factors, which affect the quality of yarn regarding yarn count, by using regression analysis.
Identification of cotton properties to improve yarn count quality by using regression analysis
As an example, while traditional appraisals usually consider three comps an adequate sample, the automated regression analysis process tends to include a larger group of comps, 250 or more, to determine what features are driving housing values in a specific geographic area.
The ideal world of valuations
It explains basic statistical concepts, the principles of statistical modeling, the linear regression model, the different types of covariates that may arise and their preliminary screening using graphical techniques, multiple linear regression, logistic regression, Poisson regression analysis, time-to-event regression, building a parsimonious regression model, studies that involve repeated measures, the use of regression trees to identify homogenous subgroups, and model structure, multi-level models, and fractional polynomials.
Regression Methods for Medical Research
Guo and Zhang [2] utilized the vibration transmissibility of a honeycomb structure which is applied regression analysis to design a shock absorber.
Determination of optimal drop height in free-fall shock test using regression analysis and back-propagation neural network
[18] presented fuzzy clusterwise regression analysis with LR fuzzy response variable and numeric explanatory variables.
Analyzing big data with the hybrid interval regression methods
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