is true variable
is prediction of
and are coefficients
is responsible for "slope" of the line
While fitting linear (not polynomial) regression RSS always can be equal to 0
Coefficients can be found only throught iterative optimization methods
Standard error for is dependent on n, therefore biased, but it is asymtotically unbiased
Standard errors cannot be used to perform hypothesis test on coefficients
now please select true statements
TSS measures the total variance in the response Y
is always between 0 and 1
measures the proportion of variability in Y that can be explained using X