Answer:
Economic growth can be caused by random fluctuations, seasonal fluctuations, changes in the business cycle, and long-term structural causes. Policy can influence the latter two.
Business cycles refer to the regular cyclical pattern of economic boom (expansions) and bust (recessions). Recessions are characterized by falling output and employment; at the opposite end of the spectrum is an “overheating” economy, characterized by unsustainably rapid economic growth and rising inflation. Capital investment spending is the most cyclical component of economic output, whereas consumption is one of the least cyclical. Government can temper booms and busts through the use of monetary and fiscal policy. Monetary policy refers to changes in overnight interest rates by the Federal Reserve. When the Fed wishes to stimulate economic activity, it reduces interest rates; to curb economic activity, it raises rates. Fiscal policy refers to changes in the federal budget deficit. An increasing deficit stimulates economic activity, whereas a decreasing deficit curbs it. By their nature, policy changes to influence the business cycle affect the economy only temporarily because booms and busts are transient. In recent decades, expansions have become longer and recessions shallower, perhaps because of improved stabilization policy, or perhaps because of good luck.
Answer:
$1140.28
Explanation:
The computation of the net present value of this investment is shown below:-
= Annual Cash flows × Present Value of Annuity Factor (r , n) - Initial Investment
as
Annual cash flows = $8600
Present Value of Annuity Factor (r , n)
r = 10% and n = 4 years
So, the Present Value of Annuity Factor will be the sum of the present value of 4 years at 10%
For Year 1 = 0.9091
For Year 2 = 0.8264
For Year 3 = 0.7513
For Year 4 = 0.6830
Total = 3.1698
Therefore,
Net Present Value = (Cash inflow × Total) -
Initial Investment
= ($8600 × 3.1698) - $26,120
= $27,260.28 - $26,120
= $1140.28
Answer:
b). 72.458 %
a). 24, 213
Explanation:
1). The second option i.e. 72.458% correctly measures the variance percentage brought in the dependent variable(regressed the quantity demanded) by manipulating the independent variable(price elasticity). The first option is wrong as it shows R multiple which is rather the coefficient. The third and the last options are incorrect as they display the intercept employed to determine the quantity and the key error of calculating the standard deviation.
2). The predicted quantity demanded would be 24,213 if the price is fixed at $7.00.
It can be calculated using the formula;
Quantity demanded = Intercept + (Adjusted R squared * Price coefficient)
∵ Quantity Demanded = 56,400.50 + (7 X -4,598.2)
= 24,213
