True or false questions-regression models

Reference no: EM1313201

State with brief reasons whether the following statements are true, false, or uncertain.
a. OLS is an estimating procedure that minimizes the sum of the errors squared, ∑u_i².
b. The assumptions made by the classical linear regression model (CLRM) are not necessary to compute OLS estimators.
c. The theoretical justification for OLS is provided by the Gauss-Markov theorem.
d. In the two-variable, PRF, b₂ is likely to be a more accurate estimate of B₂ if the disturbances u_i follow the normal distribution.
e. The OLS estimator's b₁ and b₂ each follow the normal distribution only if u_i follows the normal distribution.
f. r²is the ratio of TSS/ESS.
g. For a given alpha and d.f., if the computed t exceeds the critical t value, we should accept the null hypothesis.
h. The coefficient of correlation, r has the same sign as the slope coefficient b2

Reference no: EM1313201

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