• predictors
  • 13.30 A researcher used stepwise regression to create regression models to predict BirthRate (births per 1,000) using five predictors: LifeExp (life expectancy in years), InfMort (infant mortality rate), Density (population density per square kilometer), GDPCap (Gross Domestic Product per capita), and Literate (literacy percent). (brainmass.com)
  • That is, a multiple regression model with colinear predictors can indicate how well the entire bundle of predictors predicts the outcome variable, but it may not give valid results about any individual predictor, or about which predictors are redundant with respect to others. (wikipedia.org)
  • 1998
  • Another meta-analysis of 41 empirical studies on the wage gap performed in 1998 found a similar time trend in estimated pay gaps, a decrease of roughly 1% per year. (wikipedia.org)
  • models
  • Regression Analysis models are used to help us predict the value of one unknown variable, through one or more other variables whose values can be predetermined. (12manage.com)
  • Reciprocal Trade Agreements in Gravity Models: A Meta-Analysis ," Review of International Economics , Wiley Blackwell, vol. 18(1), pages 63-80, February. (repec.org)
  • Reciprocal Trade Agreements in Gravity Models: A Meta-analysis ," Working Papers 18877, TRADEAG - Agricultural Trade Agreements. (repec.org)
  • Reciprocal trade agreements in gravity models: a meta-analysis ," Economics & Statistics Discussion Papers esdp07035, University of Molise, Dept. EGSeI. (repec.org)
  • Regression models for prediction are often useful even when the assumptions are moderately violated, although they may not perform optimally. (wikipedia.org)
  • Overfitting is more likely to be a serious concern when there is little theory available to guide the analysis, in part because then there tend to be a large number of models to select from. (wikipedia.org)
  • estimation
  • Quantile regression for robust bank efficiency score estimation ," European Journal of Operational Research , Elsevier, vol. 200(2), pages 568-581, January. (repec.org)
  • commonly
  • In econometrics, it is most commonly used in time series analysis to test for the presence of a structural break at a period which can be assumed to be known a priori (for instance, a major historical event such as a war). (wikipedia.org)
  • variable
  • In seemingly unrelated regression (SUR), each response variable is a function of a subset of the exogenous series, but not of any endogenous variable. (mathworks.com)
  • A related but distinct approach is necessary condition analysis (NCA), which estimates the maximum (rather than average) value of the dependent variable for a given value of the independent variable (ceiling line rather than central line) in order to identify what value of the independent variable is necessary but not sufficient for a given value of the dependent variable. (wikipedia.org)
  • The case of a continuous dependent variable may be more specifically referred to as metric regression to distinguish it from related problems. (wikipedia.org)
  • mean
  • The phenomenon was that the heights of descendants of tall ancestors tend to regress down towards a normal average (a phenomenon also known as regression toward the mean). (wikipedia.org)
  • It works on similar principles as the Working-Hotelling procedure for estimating mean responses in regression, which applies to the set of all possible factor levels. (wikipedia.org)