When supply goes down, the equilibrium price goes up. This is because if there is a smaller supply the good becomes more valuable to people who want the good.
Answer:
C. Debt to Income Ratio
Explanation:
The debt to income ratio (DTI)provides a picture of the level of debts of a borrower. The DTI is usually expressed as a percentage of gross income. A high debt to income ratio indicates a person spends a high percentage of income on paying debts.
Lenders use the debt to income ratio to assess a borrower's ability to repay debts. Individuals with low DTI are preferred to those with a high one.
Price and quality exist positively correlated. A drastic fall in the price of a necklace shows a drastic fall in its quality.
<h3>
What is price?</h3>
A price exists as the quantity of payment or compensation provided by one group to another in return for goods or services. In some situations, the price of production has various names. If the product exists as a "good" in the commercial exchange, the payment for this product will likely be named its "price".
A positive correlation exists as a connection between two variables that move in tandem—that is, in the same direction. A positive correlation exists when one variable decreases as the other variable declines or one variable increases while the other increases. A positive correlation indicates that both variables change in the same direction. A negative correlation indicates that the variables change in opposite directions. A zero correlation signifies there's no association between the variables.
Price and quality exist positively correlated. The price of a product stands as a good indicator of its quality. You always have to spend a bit more for the best. The marketing literature has managed the usage of price as a surrogate for quality as a decision-making heuristic. That exists; the higher the price, the higher the quality.
Therefore, a drastic fall in the price of a necklace shows a drastic fall in its quality.
To learn more about positive correlation refer to:
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T<span>aking small samples in every situation is not always appropriate. If the populations </span>are<span> very large, you </span>cannot<span> just take small samples because it will not represent the entire population. Small samples </span>are<span> usually for verifications purposes that is the reason why it can detect some errors that the larger samples </span>cannot<span>.</span>
