In: Statistics and Probability
A) Explain the Durbin Watson test.
b) Give reasons why we introduce a stochastic disturbance term in a
regression equation.
c) Explain how you can informally detect heteroscedasticity.
d) Explain the rationale for using the adjusted R square.
e) Why does the classical linear model assume that there is no
multicollinearity among the explanatory variables?