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Compute the opportunity cost in forgone tanks for each additional truck produced:
Truck output 0 1 2 3 4 5
Tank output 5 4.5 3.8 3.0 2.0 0
Opportunity cost ? ? ? ? ?
Estimate simple linear regression models for both the raw data and the logs, estimating both the intercept and the slope.
A multiplicative demand function form: Qd= a*P^b1*Y^b2*Po^b3 is determine using cross sectional data and 224 observations. The regression results were given below:
An agent for a residential real estate company has the business objective of developing more accurate estimates of the monthly rental cost for apartments. Toward that goal, the agent would like to use the size of an apartment, as defined by square..
The theoretical background and hypothesis and the methodology section and What is the theoretical basis for answering the research question? That is, what are the arguments, given the existing theories, about how you key independent variable "X" i..
Discuss the difference between real GDP and nominal GDP and does GDP accurately reflect our country's productivity?
State carefully the ceteris paribus assumption in this case. Do you think this simple regression of Y on X satisfies that assumption? Why or why not?
What are externalities? What are positive and negative externalities? Give examples of Positive and negative externalities and give a brief introduction about your chosen merit good and explain the role of government in providing this merit good to..
The price earnings ratio for each stock is determined through dividing the value of a share of stock by the earnings per share reported by the firm for the most recent 4-quarters.
Draw a separate box diagram to show what the contract curve might look like if Aisha was concerned about very low consumption of food and clothing by Robin, but Robin was only concerned about his own consumption.
Determine when a competitively produced product generates negative externalities in production, the industry will,
.What are the equlibrium quantities (q1, q2 %u2026 ,q10)?. A-q1, q2 %u2026 ,q10 = 2B-q1, q2, %u2026 ,q9= 2 q10=1/2c-q1, q2, %u2026 ,q9= 3/2 q10=1/2d-q1, q2, %u2026 ,q9, q10= 3/2e- q1, q2, %u2026 ,q9= 3/4 q10=1/2f-q1, q2, %u2026 ,q9= 3 q10=1/2g-non..
X and Y are two random variables. The average value of X is 40,000 and X has a standard deviation of 12,000. The average value of Y is 45,000 and the standard deviation of Y is 18,000. The correlation between X and Y is 0.80.
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