id: 06649340
dt: j
an: 2016f.01303
au: Kasprowicz, Tomasz; Musumeci, Jim
ti: Teaching students not to dismiss the outermost observations in regressions.
so: J. Stat. Educ. 23, No. 3, 29 p., electronic only (2015).
py: 2015
pu: Taylor \& Francis, Abingdon, Oxfordshire; American Statistical Association
(ASA), Alexandria, VA
la: EN
cc: K85
ut: stochastics; statistics; university teaching; discovery learning; active
learning; linear regression; outlier; extreme observations; dispersion
in an independent variable; econometrics; estimates of slope
ci:
li: http://ww2.amstat.org/publications/jse/v23n3/kasprowicz.pdf
ab: Summary: One econometric rule of thumb is that greater dispersion in
observations of the independent variable improves estimates of
regression coefficients and therefore produces better results, i.e.,
lower standard errors of the estimates. Nevertheless, students often
seem to mistrust precisely the observations that contribute the most to
this greater dispersion. This paper offers an assignment to help
students discover for themselves the value of the observations that are
farthest from the mean.
rv: