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Which of the following statements is correct?
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The question asks: Which of the following statements is correct? and provides an empty set of answer options, with only one statement listed in the answer field.
Because there are no answer choices shown, we cannot evaluate multiple options or contrast them. Instead, we can address the single provided statement and explain its validity in the c......Login to view full explanationLog in for full answers
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You have data on the training regime of 100m elite runners. For each runner you observe their best run of the year (in second) ([math: pb] ), the number of hours they train each week ([math: tr]) and a dummy variable equal to 1 if their are male ([math: male]). Using OLS you get the following regression: [math: pb^=36.2−1.3male−0.92tr+0.009tr2−0.09male∗tr+0.001male∗(tr2)]\hat {pb}= 36.2 - 1.3 male - 0.92 tr + 0.009 tr^2 - 0.09 male*tr + 0.001 male*(tr^2) How many hours should a male elite runner train each week to minimize the time of their best run of the year? (round to the closest decimal)
You have data on the training regime of 100m elite runners. For each runner you observe their best run of the year (in second) (pb ), the number of hours they train each week (tr) and a dummy variable equal to 1 if their are male (male). Using OLS you get the following regression: \hat {pb}= 36.2 - 1.3 male - 0.92 tr + 0.009 tr^2 - 0.09 male*tr + 0.001 male*(tr^2) How many hours should a male elite runner train each week to minimize the time of their best run of the year? (round to the closest decimal)
Consider the following OLS regression line obtained from a random sample of 500 workers: ^ log(wage) =0.3+0.1educ+0.005exper+0.02tenure (0.1) (0.005) (0.001) (0.003) where wage is hourly wage (measured in dollars), educ is years of formal education, exper is years of labor market experience, and tenure is years with the current employer. Standard errors appear in parentheses below the estimated coefficients. Assume the classical linear model (CLM) assumptions are satisfied. The lower bound of the 95% confidence interval (CI) for the population parameter βeduc is [lower]. Note: please write your answer in number format, with 2 decimal places of precision level; do not write your answer as a fraction. Add a leading minus sign symbol, a leading zero and trailing zeros when needed. Use a period for the decimal separator and a comma to separate groups of thousands. HINT: Use Table G.2 in your text if the table is printed correctly. Otherwise, see below (ignore highlighted or circled parts that are for other questions):
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