Question: Weighted least squares. Consider the data in Table 9-4. a. Estimate the OLS regression Yi = B1 + B2Xi + ui b. Estimate the WLS

Weighted least squares. Consider the data in Table 9-4. a. Estimate the OLS regression
Yi = B1 + B2Xi + ui
b. Estimate the WLS
Weighted least squares. Consider the data in Table 9-4. a.

(Make sure that you run the WLS through the origin.) Compare the results of the two regressions. Which regression do you prefer? Why?
AVERAGE COMPENSATION IN RELATION TO PRODUCTIVITY
BY EMPLOYMENT SIZE, U.S. MANUFACTURING INDUSTRIES

Weighted least squares. Consider the data in Table 9-4. a.

Y, IE Average Standard deviation Employment size compensation productivity of compensation Average (average number of employees) 3,396 3,787 4,013 4,104 4,146 4,241 8,584 7.962 8.275 8,389 10-19 20-49 805 930 1,081 1,243 1,308 1,112 100-249 250-499 4,538 4.843 9,795 10,281 11,754 1000-2.499

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