The forces underlying supply and demand interact to determine the market price.
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Explanation:</u></h3>
The persons involving in the activities of trading comprises the market system. It includes sellers, buyers and others involved in trading process. They also includes the buyers, consumers, producers who are the major players of the market system who determines the economic activity in it.
The supply and demand law is the major determinant of the production of goods and services in a market economy. The natural resources, land, capital and labor are the supplies. The purchasing power of the government, consumers and business are the demands. The forces underlying supply and demand interact to determine the market price.
Answer:
d. $5,204
Explanation:
Interest expenses up to December 31, 2020 = (Total present value of lease payment - Lease payment on July 2021) * 8% * 6/12
= $61,600 - $8,500 * 8% * 6/12
= $53,100 * 8% * 6/12
= $2,124
Depreciation Expenses up to December 31, 2021
= Fair value of equipment / Useful life * 6/12
= ($61,600 / 10) *6/12
= $6,160 * 6/12
= $3,080
Therefore, the total decrease in earnings (Pretax) in Larlas December 31, 2021 Income statement would be
= Interest expenses + Depreciation Expenses
= $2,124 + $3,080
= $5,204
Answer:
False
Explanation:
Both supply and demand concepts rest on the relationship between price and quantity.
Quantity demanded increase when price falls and falls when price increases.
Quantity supplied increases when price increases and falls when price falls.
The demand and supply curve are plotted with price on the y axis and quantity on the x axis.
I hope my answer helps you
Answer: Logistic regression
Explanation:
The type of model that the student group can utilize to analyze which features are important for explaining whether someone opens a promotional email is the logistic regression.
Logistic regression is the regression analysis that's used to conduct in a case whereby the dependent variable is binary.
With regards to the question, the logistic regression can provide the best model which will be used to forecast the most important features for the opening of the promotional e-mail.
