In
the second linear regression, we entered attentiveness to alternatives as the criterion (PROCESS Model 1).
Not exact matches
Second, a case - control setup was used to compare differences between the most severe tail chasers (TCindex5 — 12) and the controls (TCindex = 0) using a generalized
linear model with a binomial distribution (logistic
regression).
Therefore the multiple
regression includes a
linear time trend, MEI, AOD, TSI and a
second - order Fourier series with period 1 yr.
In May 2005, a
second algorithm based on
linear regression analysis (Version 2.0) was implemented and all the fields available through this website were updated accordingly.
OOOH... What a great idea... Let's take an chaotic system, with variable and constant inputs, multiple non-linearities, periodic, pseudo-periodic, and aperiodic oscillations with time scales of
seconds to millenia and size scales of centimeters to thousands of kilometers, all of which are coupled, and apply a
linear regression on 37 years of data.
In a
second step, the prediction of three ODD dimensions by the same parent rating scales was assessed by backward
linear regression analyses.
The authors estimated two
linear regression models that predicted early delinquency: one with individual and family controls and a
second with the addition of parenting stress and school belonging.