id: 06560912
dt: j
an: 2016c.00921
au: Scariano, Stephen M.; Swim, Edward W.
ti: Reconciling the least-squares and point-slope forms of a line for the
two-point problem.
so: Math. Comput. Educ. 49, No. 3, 167-176 (2015).
py: 2015
pu: MATYC Journal, Old Bethpage, NY
la: EN
cc: K85
ut: statistics; teaching; natural sciences; least-squares approximation; linear
approximation; regression; analytic geometry; equations of straight
lines; slope-intercept form; point-slope form; Pearson correlation
coefficient; sum of squares due to error
ci:
li:
ab: Summary: The article presents a discussion on the topic of Least-Squares
Regression. Explored is the statistical theory depicting the slope and
intercept of Least-Squares Regression as well as the point-slope
formulation of the equation of a line connecting two data points.
Analyzed is the Pearson Correlation Coefficient along with Euclidean
axioms.
rv: