regression estimate

regression estimate

[ri′gresh·ən ‚es·tə·mət]
(statistics)
An estimate of one variable obtained by substituting the known value of another variable in a regression equation calculated on sample values of the two variables.
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Where a significant correlation was confirmed, the standardised regression estimate was included to indicate the direction and extent of the independent apprenticeship variable.
The least squares regression estimate [beta] minimizes the sum of squared error terms [[SIGMA].
For instance, if F{Y,X) is a unimodal Gaussian distribution, the conditional mean, E(Y/X;[theta]), coincides with the linear regression estimate.
For instance, if F(Y,X) is a unimodal Gaussian distribution, the conditional mean, E(Y/X;[theta]), coincides with the linear regression estimate.
Panel B contains the regression estimate for publicly held stocks.
In the first phase of the MM-estimation is calculated a regression estimate, which is consistent and have a high break-down point, but is not necessarily efficient.
The regression coefficient estimate for community beneficiaries age 0-54 is -$48, and for the longterm institutionalized the regression estimate is -$1.
The evidence that these people had procyclical average hourly earn ings is weaker, because while the mean regression estimate is statistically significant, the median regression estimate is not.
The least squares regression estimate of the slope for the same model (Schroeder and Vangilder 1997), [b.
double dagger]) Xo is the nonlinear regression estimate of the GDH required for initial emergence.
2] and reduced the standard error of the regression estimate (SEE).
As a means of illustrating this problem in the current context, Table 3 presents the top five most influential observations for a simple levels OLS regression estimate of equation (1).