The challenges people living in a county or state with a high concentration of subprime scores might be facing as a result of the low credit scores are:
I. Poverty.
II. Famine and hunger.
III. Low level of healthcare.
A credit score can be defined as a numerical expression ranging 300 to 850, which typically represents an individual's financial history and credit worthiness.
This ultimately implies that, the higher your credit score, the higher and better it is to obtain a credit (money) from a potential lender and vice-versa.
In the U.S, the ratings of a credit score by FICO include the following;
- A credit score ranging from 670 to 739 is considered to be a good credit score.
- A credit score of 740 to 799 is better.
- A credit score of 800 to 850 is considered to be excellent.
In this context, the challenges people living in a county or state with a high concentration of subprime scores might be facing as a result of the low credit scores are:
I. Poverty.
II. Famine and hunger.
III. Low level of healthcare.
Find more information: brainly.com/question/14379808
Answer:
B
Explanation:
Real GDP measure total economic output by an economy in a specific geographical boundary regardless of ownership of factors of production, within a year, ceteris paribus.
Real GDP is a good indicator but is not a perfect indicator as underground economy (private tuition whereby taxes and consumption of goods and services) are not accounted for.
Real GDP does not measure Non-Material standard of living like leisure hours, health and life expectancy... It needs other indicators.
Both B and D is a bit effy as:
For D, GDP does not even measure such Non-Material SOL
For B, GDP is not 100 percent accurate on measuring household production (local production? I believe there is no such phrasing as household production as by economics, household is involved in household spending, Contributing to Consumption expenditure in Aggregate Demand.) as there are other factors like presence of underground economy that is not accounted for.
However, B seems like the most accurate ans as it still measures national output.
I would think it could be a 4 ×4
Answer: Elasticity of demand is 7.06
Explanation:
P1= $2,750
P2=$2,880
Q1=446,000
Q2=321,000
Elasticity = -0.76
Thus, elasticity of demand for laptops is 7.06. This means that laptops are highly price elastic as it is greater than 1.
