«Three beliefs about God were tested separately
in ordinary least squares regression models to predict five classes of psychiatric symptoms: general anxiety, social anxiety, paranoia, obsession, and compulsion,» reads the abstract for this paper.
Not exact matches
Ordinary least squares regression was used to calculate how sensitive unemployment rates were
in each state relative to overall US unemployment rates.
For instance,
ordinary least squares regression is used properly less than 20 % of the time
in sell - side research,
in my opinion.
The
ordinary least squares (OLS)
regression approach used will, however, underestimate Y
in the presence of fluctuations
in surface temperature that do not give rise to changes
in net radiative flux fitting the linear model.
I tried to bring out the point about internal cloud oscillations,
in writing: «The
ordinary least squares (OLS)
regression approach used will, however, underestimate Y
in the presence of fluctuations
in surface temperature that do not give rise to changes
in net radiative flux fitting the linear model.
One set of their reconstructions uses the «Lasso» algorithm, while the other reconstruction methods use variations on a principal component (PC) decomposition and simple
ordinary least squares (OLS)
regressions among the PCs (varying the number of PCs retained
in the proxies or the target temperatures).
In order to test the influence of moderator variables, we used an analogue of analysis of variance and weighted
ordinary least squares regression analyses.