Among 2500 individuals, the mean weight was 161 pounds with a standard deviation of 51. We wish to know if on the basis of these data, we may conclude that the mean weight of 150 pounds is rejected. (please go over both approaches I mentioned in the lectures.)
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- (look at the attached image) a. Explain whether the specification uses a pre-post or a simple difference method? Discuss the counterfactual in the specification above. b. Using the specification above, discuss whether you would be able to estimate an unbiased estimate on the effect of BSM on students' test scoresa. How to derive the variance and estimates of ols, and which steps in the derivation process require assumptions, list them.b. Under the classic OLS model. Given the R∧2 as well as the adjusted R∧2, discuss this two R-squared differences, advantages and disadvantages and their different roles.Q1. State the property of an estimator that gives a correct estimate of the population parameter of interest, but only on average. Q2. State the property of ian estimal or thal converges to the populalion paaameter of interest as the sample size goes to infinity. Q3. Why is an efficient estimator a desirable property of the OLS estimator? Q4. Stare the assumption(s)under the classical linearregression model giving rise to a biased standard error of the coefficient estimates when violated.
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