regression analysis

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Related to regression analysis: linear regression, Multiple Regression Analysis
ThesaurusAntonymsRelated WordsSynonymsLegend:
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
References in periodicals archive ?
It describes how regression coefficients are estimated, interpreted, and used in a variety of settings in the social sciences, business, law, and public policy, as well as how linear regression techniques can be applied to different types of data and how forecasters can use regression analysis to make predictions.
Statistics students plagued by the complexities of regression analysis will delight in discovering The Manga Guide to Regression Analysis, part of No Starch Press's Manga Guide series.
The results of their Regression analysis showed a significant negative relationship of EBIT with Cash Conversion Cycle.
Step 1 Conduct a simple regression analysis with X predicting Y to test for path c alone
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.
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.
In the statistical evaluation of the data; i) Pearson correlation coefficients between the linear body measurements were estimated, ii) multiple linear regression model was used for live weight prediction, iii) use of the scores from factor and principal component analyses as independent variables in multiple regression analysis model was employed with the purpose to predict live weight (LW).
Prior knowledge of simple cross-sectional statistical techniques like linear regression analysis, logistic regression analysis, and analysis of variance is assumed.
Multiple linear regression analysis was used to determine the extent to which changes in participants' attitudes, subjective norms, and perceived behavioral control predicted their intentions to advocate for school health education.
Only multiple linear regression analysis fitting to the available data showed tendency to multicollinearity problem with VIF greater than 10 and didn't present optimal solutions.
The primary endpoint of the study was to determine whether there was a dose response in the change in serum phosphorus from Baseline to Day 28 in the ITT group, using a regression analysis to evaluate this objective.
As a statistical analysis method, Pearson correlation coefficient and linear regression analysis were used.