20.94% is the expected rate of return
<u>Explanation:</u>
<u>The following formula is to be used for the expected rate of return
</u>
Expected rate of return = Sum of probability multiply with rate of return
= 0.2094
= 20.94%
The expected rate of return means such return which an investor expects from the amount that has been invested by him into the business organization. It is significant to calculate the rate of return in order to find out the viability of a company.
Answer
The classification is shown below:
Explanation:
The saving refers to the amount i.e above its consumption expenditure let us take an example if an individual salary is $100,000 and its expenditure assumes $50,000 then it saves $50,000 so the $50,000 is the savings. While the investment is the amount that is spent to buy some assets in terms of building, machinery, home, etc.
So the classification is presented below:
a. Kyoko borrows money to build a new lab for her engineering firm. = Investment
b. Rina purchases stock in Nano Speck, a biotech firm. = saving
c. Musashi takes out a mortgage for a new home in Detroit. = investment
d.Jacques purchases a corporate bond issued by a car company. = saving
The public debt is the amount of money that a government owes to outside debtors. Public debt allows governments to raise funds to grow their economy or pay for services. Politicians prefer to raise public debt rather than raise taxes. When public debt reaches 77% of GDP or higher, the debt begins to slow growth.
Answer:
d) $100,000
Explanation:
In answer to this question, Tricia must include $100000 as the amount of the discharge of indebtedness from the disposition of her principal residence when when she is completing her Schedule CA for the year 2019.
We have option d, 100000 dollars as the answer because the amount of debt forgiven is known to be taxable.
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)
