Because take me for an example i want to be a marine biologist and a doctor and a missionary well that right there is 3. so the are divided because you can always choose more.
Answer:
they help you focus on how to get to your long term goal, like how you focus on the drive not the destination.
Explanation:
Answer:
1. Cash (Dr.) $100,000
Unassigned grant (Cr.) $100,000
2. Computers (Dr.) $10,000
Cash (Cr.) $10,000
3. Salaries and Wages (Dr.) $6,000
Cash (Cr.) $6,000
4. Cash (Dr.) $24,000
Long term bank loan - Notes payable (Cr.) $24,000
5. Automobile (Dr.) $24,000
Cash (Cr.) $24,000
6. Interest Expense (Dr.) $200
Cash (Cr.) $200
7. no entry
Explanation:
Balance Sheet
Assets:
Cash $90,000
Computer $10,000
Automobile $24,000
Total Assets $124,000
Liabilities:
Notes Payable $24,000
Equity:
Grant Received $100,000
Total Equity and Liability $124,000
Answer:
Decreases.
Explanation:
The law of demand states that for an elastic good an increase in price results in a decrease in quantity demanded.
Elasticity of demand is the degree of responsiveness of quantity demanded to changes in price.
When a good is highly elastic that means the elasticity is above 1. For example if elasticity is 2, an increase in price by 1 unit will result in a decrease in quantity supplied by 2 units.
As total revenue is equal to price multiplied by units sold, total revenue will also reduce with price increase of a highly elastic good.
Answer:
a. The estimated coefficient for size is approximately <u>13.81</u>.
b. In the regression, two predictors are used. These two predictors are size and fireplace (FP).
Explanation:
a. The estimated coefficient for size is approximately _____.
Estimated coefficient for size = Standard Error of size * t-Stat of size = 1.2072436 * 11.439 = 13.81
Therefore, the estimated coefficient for size is approximately <u>13.81</u>.
b. How many predictors (independent variables) were used in the regression?
Independent variables can be described as variables that are changed or manipulated in order to measure the effect of their changes on the dependent variable. Independent variables are therefore also called predictors because they employed to predict the dependent variable.
In the regression, two predictors are used. These two predictors are size and fireplace (FP).