AIM 6: Define, calculate and interpret the variance and standard errors in a multilinear regression.
In the multivariable regression model: Y = B0 + B1 × Xli + B2 × X2i + εi, the formula for the standard errors of the estimated coefficients includes the variance of εi, which is represented by: σ2. Since the term is:
A) not known with certainty, the expression σ2 is replaced with: .
B) not known with certainty, the standard errors of the coefficients cannot be estimated.
C) not known with certainty, the expression σ2 is replaced with: .
D) known with certainty, the standard errors of the coefficients are known with certainty. |