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):简答题

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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)

Which of the following statements is correct?  

Pedersen Industries wants to initiate a new project. To facilitate the project, an increase in cash of $20,000 will be required and the firm needs to build up $15,000 in inventory. The firm is expecting revenues of $500,000 per year and cost of goods sold (COGS) of $400,000. Pedersen Industries is expecting that Accounts Receivables (AR) will account for 5% of annual sales and Accounts Payables (AP) will account for 10% of COGS. All these changes will occur in year t=1. ​ What is the incremental cash flow effect from the change in Net Working Capital (NWC) in year 1?

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