Which of the following statements hold true for the sampling distribution of B and B₁ under the least squares assumptions? (Check all that apply.) A. Bo and ₁ are biased estimators of Bo and p₁, respectively. B. Bo and ₁ are unbiased estimators of Bo and ₁, respectively. C. The sampling distribution of ☐D. The sampling distribution of Suppose a researcher conducts an experiment with a sample size of n = 50. In this case, the normal approximations to the distributions of the OLS estimators of the researcher's regression parameters and ₁ is always well approximated by the bivariate normal distribution. and ₁ is well approximated by the bivariate normal distribution if the sample is sufficiently large. be reliable.
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- q7- Which statement is incorrect for statistical independence between X and Y? Select one: a. The occurence of Y has no impact on the probability for the occurence of X b. If X and Y occur jointly, it is purely by chance c. The correlation between X and Y is 0 d. The correlation between X and Y is 11. The old adage “time is money” comes into play here, too, as saving time is often tantamount to reducing costs. (10 sentences) 2. Downside of cost cutting or cost minimization (10 sentences) 3. What is Budget Vs. Actual? Why is it Important? What Causes the Variance? What is the implication of having a good variance-analysis in the company? (10 sentences)(Yi, X1i, X2i) satisfy the assumptions of the attachment. You are interestedin β1, the causal effect of X1 on Y. Suppose that X1 and X2 are uncorrelated.You estimate β1 by regressing Y onto X1 (so that X2 is not included in theregression). Does this estimator suffer from omitted variable bias? Explain.
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