Suppose that a labor economist performs a statistical analysis on economywide worker wages using standard, measurable explanatory factors, such as job characteristics, years of schooling, and so forth. How much of the variation in worker wages can be accounted for by such measurable explanatory factors

Somewhat less than 50%

Explanation:

Here is the complete question;

Suppose that a labor economist performs a statistical analysis on economywide worker wages using standard, measurable explanatory factors, such as job characteristics, years of schooling, and so forth. How much of the variation in worker wages can be accounted for by such measurable explanatory factors?

a. Somewhat less than 50%.

b. Somewhat more than 60%

c. Nearly 100%

d. About 0%?

The variables which are typically removed from the quantitative analysis of wages are those which cannot be directly measured, directly observed or normative in nature.

Chance plays a vital role in deciding ones wage, the type of job one applies for and gets, and the salary that can be gotten. Chance cannot neither be measured nor observed. Natural ability cannot also be quantified, observed or measured. These variables are also subject to normative judgement.

Based on this analysis, the measurable traits will account for less than 50% of total variation in the wages.

a recipe serves 8 people, and calls for 5 lbs of apples and 2 cups of flour. you want to prepare it for 24 people. divide 24 by 8 to get 3, and then multiply your ingredients by 3.

so for 24 people, you'll need 15 lbs of apples, and 6 cups of flour.

a manufacturer of printed circuit boards uses exponential smoothing with trend to forecast monthly demand of its product. at the end of december, the company wishes to forecast sales for january. the estimate of trend through november has been 200 additional boards sold per month. average sales have been around 1000 units per month. the demand for december was 1100 units. the company uses α = 0.20 and β = 0.10. make a forecast including trend for the month of january.