Answer:
$20,000
Explanation:
Given that
New car bought from the manufacturer = $17,000
Sale value of the new car = $20,000
And, the car is sold to Camille for $15,000
So by considering the above information, the amount i.e to be contributed to U.S GDP is
= Sale value of the new car
= $20,000
It represents the finalized value of the goods and services and the same is to be considered
In the market for personal computers, we would expect the Equilibrium quantity to rise and the change in the equilibrium price to be ambiguous.
<h3>
What is equilibrium quantity?</h3>
- When there is no shortage or surplus of a product on the market, it is said to be in equilibrium quantity.
- When supply and demand meet, the amount of an item that consumers want to buy equals the amount supplied by its producers.
- The equilibrium price is the only price at which consumers' and producers' plans coincide—that is, the amount consumers want to buy of the product, quantity demanded, equals the amount producers want to sell, quantity supplied.
- Assume there is an increase in both supply and demand for personal computers.
- The Equilibrium quantity would then rise in the market for personal computers, while the change in the equilibrium price would be ambiguous.
Therefore, in the market for personal computers, we would expect the equilibrium quantity to rise and the change in the equilibrium price to be ambiguous.
Know more about equilibrium quantity here:
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The correct question is given below:
Suppose there is an increase in both the supply and demand for personal computers. In the market for personal computers, we would expect the Equilibrium quantity to ______ and the change in the equilibrium price to be __________
Yes I’m gonna give him my internet homework and then he will give
Answer:
D. Predictive Analytics
Explanation:
Predictive analytics is a data mining technique that involves the use of old previous information in the prediction of future activities. It is the use of statistical data and algorithms in determining the likelihood that a future event will occur based on the historical facts found in the statistical data. It is used in identifying patterns and predicting future outcomes and trends based on those identified patterns. An example of this is a forecast that helps police in predicting areas most likely that crime will occur.