a) Be able to interpret the estimated coefficients of a regression equation and theoretically evaluate them, i.e., do they make economic sense.
b) Be able to calculate the standard error of a regression.
c) Interpret a given R2 value.
d) Be able to explain what is adjusted R2 and why is it needed.
e) Be able to construct Confidence Interval for a population parameter b and interpret it.
f) Be able to test a null-hypothesis using the test-of-significance approach.
g) Using an estimated regression equation, be able forecast a future value of the dependent variable and be able to construct Confidence Interval for it.
h) Be able to calculate the F-statistic from R2.
i) Be able test the null-hypothesis, using the F-test, that all coefficients are zero H0: B2 = B3 = ........ = Bk = 0
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