Answer:
Principle of change.
Explanation:
CMA is an acronym for comparative market analysis and it can be defined as an estimate of the value of a house based on the market value of similar houses that were sold in the immediate area where it's located. Thus, it's a tool used by real estate agents to determine or measure the value of a property for a seller.
In this scenario, Amelia's agent informed her that the valuation of eight years ago is no longer accurate.
Hence, the principle of value that is driving her agent's opinion is a principle of change.
Answer:
$10,458.30
Explanation:
For computing the cost of new piece first we have to find out the capacity of 1,000 units which is shown below:
Cost of equipment having capacity of 1000 units
= (New equipment capacity ÷ original capacity equipment)^power-sizing exponent for this type of equipment × past purchase
= (1000 ÷ 2000)^0.28 × $10,000
= $8,235.91
Now
Cost of new equipment today is
= Cost of new equipment × (Current cost index ÷ Old cost index)
= $8,235 × (160 ÷ 126)
= $10,458.30
Answer: Option(d) is correct.
Explanation:
Correct option: Neither desired net exports nor desired net capital outflow
If there is increase in the exchange rate, then there will be depreciation of the home currency. This means that now a person have to pay more for the same amount of imported goods.
The exports of a country also increases with increase in the exchange rate. So, the economy became more stronger.
And an economy rises exchange rate for stabilizing the foreign interest rate and domestic interest rate.
If the domestic interest rate is higher than the foreign interest rate then there is a inflow of capital in the home country. So, an economy increases the exchange rate to equal the foreign interest rate and domestic interest rate.
Businesses and industries need to make decisions to make a profit and to benefit the world.
Answer:
d. the estimated slope coefficient is more likely to equal the population slope coefficient.
Explanation:
R squared is a statistical measure that measures the closliness of data from regression line. in general a large r squared tends to suggest that the estimated slope coefficient is more likely to equal the population slope coefficient.
