regress

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regress

verb backslide, fall again into, fall back, fall behind, go back, move backward, pass back, recede, relapse, retrocede, retrograde, retrogress, return, reverse, revert, turn back
See also: decline, deteriorate, escheat, recidivate, relapse, reversion, revert

REGRESS. Returning; going back opposed to ingress. (q.v.)

References in periodicals archive ?
In Equation (4), the first regressor, DELEGATE, should have a positive coefficient, as branch managers who exercise greater authority should receive more incentive compensation.
Use of the random effects estimator requires the assumption that [omega] and/or l is uncorrelated with the regressors in the model.
k] generated by Equations (1) and (2) using a Hausman test (see the appendix), which gauges whether the dyad-specific intercepts are random or instead correlated with the model's regressors ([X.
In general, the coefficients and APEs were significant at the 1% level for all regressors, except the income and ethnicity effects that were not significant in the PFL model.
The multi-layer Perceptron regressor result shows enough evidence to support the continuation of this research.
The remaining one hundred variables form a pool of potential/conceivable regressors bearing socio-demographic, lifestyle and other relevant information that may be used to model consumers' personal data sharing preferences.
8) As is well known, omitted variable bias has the same sign of the correlation between each included regressor and the omitted variable.
The key idea of this research is to utilize the following three methods: the extended Kalman filter (EKF), the Savitzky-Golay filter (SGF), and the regressor matrix.
Other than these parameters (which affect the construction of the monthly weather regressors [x.
In this paper, the authors use time series data of crude oil prices on a yearly basis (1973-2012) in the US and a set of eighteen candidate regressors to select a model from a subset of variables that relate to crude oil price.
High percentage of variation for each original regressor was explained in Table 3.