Sentence examples for variable regression model from inspiring English sources

The results for the dummy variable regression model in (1) are reported in Table 2.

The data were then fitted by a multiple variable regression model using the maximum likelihood method.

The dummy variable regression model is estimated for the value-weighted (VW), equally-weighted (EW), and 10 decile portfolios sorted by market capitalization.

The procedure starts by building a one variable regression model using the variable that has the highest correlation with the response variable y.

A multiple explanatory variable regression model was developed for normalized MFR and normalized CA. The methods presented in this paper provided sufficient precision to estimate the effects of vacuum (both at teat-end and in the liner mouthpiece), pulsation, and liner compression on CA, as an indicator of teat-end congestion, during the peak flow period of milking.

Adjusted associations between SRDH, insurance and household income were assessed in a multiple variable regression model.

The first two parts are deterministic parts and are modeled separately with dummy variable regression models.

Also, it can be carried out in the presence of independent variable regression modeling where there is multicollinearity.

In this paper a general framework to perform the inversion of latent variable regression models (LVRMs) is proposed.

In a recent study, Roh et al. [5] conducted dummy variable regression modeling using vehicle classification data collected from WIM system.

Finally, from the final population and for each compound dataset, 3 9 variable regression models were built for the corresponding biological activity.