It is a graph that shows the relationship between the quantity demanded of a commodity at different prices over a given period of time. It is observed that the demand curve slopes downward from left to right. It shows it has a negative slope which implies that consumers purchase more of commodity at lower prices than at higher prices.
Hope this helps and pls give me brainliest
Answer:
$200,000
Explanation:
As we know that
The net income is the income that is generated when we deduct all expenses incurred from all revenues generated that is reflected on the income statement
In mathematically,
Net income = Revenues earned - expenses incurred
= $450,000 - $250,000
= $200,000
Answer:
No, Watching TV has an opportunity cost
Explanation:
Opportunity costs represent the forfeited benefits for preferring a certain option over others. It is the foregone benefits from the next best alternative.
Watching TV for two hours has an opportunity cost. By watching TV, a person has sacrificed doing other things. The two hours could have been used in other ways like working, studying, swimming, or playing. By watching TV, the person missed benefits from the other activities. The other activity that would have resulted in more benefits other than watching TV is the opportunity cost.
Answer:
Larger-sq and small Se.
Explanation:
Regression line is a line that clearly describes the behavior of a given set of data.
Regression lines are very essential for forecasting processes. The importance of the line is to describe the interrelation of a dependent variable (Y variable) with one or many independent variables (X variable).
An analyst can forecast future behaviors of the dependent variable by making use of the equation gotten the regression line. This is done by inputting different values for the independent ones. Regression lines are frequently employed in the financial sector.
Financial analysts make use of linear regressions to forecast stock prices, commodity prices and also to carry out valuations for many different securities. Companies use regressions for the purpose of forecasting sales, inventories and a lot of other variables that are needed for strategy and planning. The regression line formula is represented below:
(Y = a + bX + u)
Answer:D.
Someone is given responsibility for deciding how to meet the need.
Explanation:
