Consider a regression model estimated with a very simple data
set.
There are only two observations and one explanatory variable,
with no intercept term.
The observations are:
y = (4, 3) and x = (1, 0)
The slope coefficient on x , beta-hat, is 4. (Why? Consider the
residuals.)
Calculate the R-squared for this regression.
(Notice that, in this special case, we will not subtracting
Y-bar in the calculation of TSS, since the intercept is not in the
model.)