F-test measures the statistical significance


Question 1. If a company faces a price-elastic demand curve, it can increase the revenue by decreasing the price.

  • True
  • False

Question 2. F-test measures the statistical significance of each explanatory variable.

  • True
  • False

Question 3. A lawyer whose annual income used to be $150,000 quit the job and opened a restaurant. The total cost of operating the restaurant business is $100,000, and the annual revenue is $250,000. What is the lawyer's economic cost of running the restaurant business?

  • $100,000
  • $150,000
  • $250,000
  • $300,000
  • $50,000

Question 4. Total revenue function is

TR = -Q(Q-10)
and total cost function is
TC = 2Q.

What is the profit-maximizing Q?

  • 2
  • 4
  • 6
  • 10
  • 12

Question 5. What was NOT the effect of the "voluntary export restraint" on Japanese cars in 1981?

  • Japan started to export high-end automobiles to U.S.
  • Domestic car prices jumped up.
  • U.S. consumers had to pay more to purchase cars.
  • Japanese auto manufacturers suffered a significant decrease in revenue.
  • US car auto manufacturers enjoyed higher profits.

Question 6. Click demand data and using the data, estimate the following regression equation:
P = 14254 - (   ) Q
Note: Be careful. The equation shows that the independent variable is Q and the dependent variable is P.
Note: Do not round the estimate. Just write the whole number. Be careful with the sign.

Question 7. (     ) method is a popular method of qualitative forecasting. Developed at the Rand Corporation in the 1950s, it is utilized predominantly in predicting technological trends and changes. It uses a panel of experts and unlike the jury of executive opinion, the participants do not meet ot discuss and agree on a forecast.

Question 8. 

Month

Sales

3-Month Moving Average of Sales

Jan

843

 

Feb

939

 

Mar

1236

 

Apr

876

1006

May

 

(     )

Note: Do not round the number. Write the whole number.

Question 9. What is time-series data. Give an example. What is cross-sectional data. Give an example.

Question 10. What is the key difference in assumption between a short-run production function and a long-run production function?

Question 11. Diminishing returns are short-run phenomena. Define the law of diminishing returns. In a well-defined cubic production function, in which stage does it kick in?

Question 12. Estimation of Cobb-Douglas production function.

The following link provides the data of a soft drink bottling production function:
soft drink data
The initial data set was transformed to log data. Estimate the following equation:
log (TP) = log a + b log (L) + c log (K)
Estimate "log a", "b", and "c".

[Hint: Since you have two independent variables, i.e., log(L) and log(K), you have to set the two data columns as one block for the X range.]

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Microeconomics: F-test measures the statistical significance
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