When this takes place it is commonly referred to
as the regression to the mean.
This tendency toward mediocrity — sometimes called the Sports Illustrated jinx because an athlete is likely to enter a career lull after appearing on the cover — is a variation on a mathematical principle known
as regression to the mean.
They play the game of relative value, by using strategies such
as regression to the mean.
Not exact matches
Jung has seen that psychologically this
means that an overemphasis on either side of a polarity such
as conscious - unconscious, or sacred - profane, will lead not
to a dialectical coincidentia oppositorum but
to a reinforcement or enantiodromia of the (untransfigured) other pole, that is,
to an inundation or
regression.17 It will be helpful
to keep these Jungian motifs in mind
as we explore the somewhat surprising parallels between Jung's notion of «individuation» and Altizer's idea of an ongoing kenotic incarnation.
From what has gone before, the
meaning of «its own realization» is obviously a part of what has been characterized
as «ideal» realization, which was seen
to be linked
to conceptual
regression (cf. PR 87 / 134).
Betting experts wonder about
regression to the
mean as Texas Nick Martinez had a 0.35 ERA in his first four starts but 4.22 the last two.
She may also experience developmental
regression, which
means going back
to earlier behaviors or stages, such
as thumb - sucking.
We also estimated relative indices of inequality (RII) and slope indices of inequality (SII)
as summary measures of relative and absolute inequalities of breastfeeding outcomes, respectively, across the entire distribution of maternal education.24 For child IQ, linear
regression analyses using GEEs were performed
to estimate
mean IQ differences in lower maternal education from the reference category in each intervention group and compared between the groups.
Some online dating sites offering compatibility matching methods use the word similarity
as: «a proprietary Dyadic Adjustment Scale», others
mean: «a proprietary multivariate linear
regression equation», some say a mix of similarity and complementarity
meaning: «a proprietary multivariate logistic
regression equation», still others mix similarity and complementarity
meaning: «a proprietary equation
to calculate «compatibility» between prospective mates!»
Discuss the idea of «
regression to the
mean»
as it applies
to schools.
Based on recent information provided by the Accountability Technical Advisory Committee's (TAC) recommendations
to ISBE, it is likely that ISBE will move away from linear
regression toward Student Growth Percentiles (SGPs)
as a
means to measure student growth under the new school improvement and accountability system.
We also find that high - performing teachers» value - added dropped and low - performing teachers» value - added gained in the post-move years, primarily
as a result of
regression to the within - teacher
mean and unrelated
to school setting changes.
The law of averages and
regression to the
mean, sort of dictate that on a long time line your Big Bad Active Fund will do about
as well
as the market did.
According
to the submitted paper, they «fit each record [ENSO and AMO times series] separately
to 5th order polynomials using a linear least - squares
regression; we subtracted the respective fits... This procedure effectively removes slow changes such
as global warming and the ~ 70 year cycle of the AMO, and gives each record zero
mean.»
As it is, a forcast for 2005 based on OLS
regression for 1988
to 2006 has a
mean of 0.61 C with a 95 % CI from 0.37 C
to 0.84 C.
Their approach requires an estimate of the forced global
mean temperature in a given year (excluding any natural variability), which are derived from Otto et al (2015), who employ a
regression approach
to reconstruct a prediction of global
mean temperatures
as a function of anthropogenic and natural forcing agents.
A recent paper by Loehle & Scafetta (L&S 2011) in a journal known
as the «Bentham Open Atmospheric Science Journal «(also discussed at Skeptical Science) presents some analysis using
regression to describe cycles in the global
mean temperature, showing us many strange tricks one can do with curves and sinusoids, in something they call «empirical decomposition» (whatever that
means).
In our revision of the historical runoff model, we attempted
to add several parameters of temperature — seasonal
means, maximums, and minimums —
as explanatory variables
to the revised
regression model but none were significant.
They draw a line on a graph showing the rate of warming from that unnatural peak in 1998
to now, and make it look like warming has continued at a steady pace, and not accelerated
as expected (an argument that would fail any Statistics 101 class,
as it ignores «
regression to the
mean»).
When the inevitable
regression to the
mean occurs, this can be portrayed
as a recovery.
Hamilton, 4.0 + / - 0.3, Statistical A simple
regression model for NSIDC
mean September extent
as a function of
mean daily sea ice area from August 1
to 5, 2012 (and a quadratic function of time) predicts a
mean September 2012 extent of 4.02 million km2, with a confidence interval of plus or minus.32.
The data is annual data from 1955
to 1995, with a
mean of 23.025 C, a Standard Deviation of 0.2981 C, and a trend of 0.05 + / - 0.08 C / 10 years,
as determined by simple linear
regression.
We blended surface meteorological observations, remotely sensed (TRMM and NDVI) data, physiographic indices, and
regression techniques
to produce gridded maps of annual
mean precipitation and temperature,
as well
as parameters for site - specific, daily weather generation for any location in Yemen.
Re the GISTEMP Land - Ocean Index graph: I should think that an 8 - year RUNNING
MEAN would give an astonishingly - good fit
to the data; one that will be statistically - sound
as a
regression.
An exploratory analysis was
to be performed by
means of multiple
regression with the dependent variable
as the sum on the new scale and the independent variables
as 14 personality disorder scales defined in DSM - 5, DSM - IV - TR, and DSM - III - R.
Logistic
regression analyses were conducted
to investigate the mediation hypotheses, using an established 3 - step procedure.48 First, we investigated whether there was a significant bivariate association between a high level of maladaptive parenting (operationally defined
as ≥ 3 maladaptive parenting behaviors) or abuse during childhood or early adolescence (by a
mean age of 14 years) and risk for suicide attempts during late adolescence or early adulthood (reported at a
mean age of 22 years) and whether the magnitude of this association was reduced when interpersonal difficulties during middle adolescence (reported at a
mean age of 16 years) were controlled statistically.