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)
The Current yield on the bonds are calculated as :
Current yield = Annual coupon payments/ Current price
Here, we assume the face value of the bond to be $1000
Annual coupon payments are 10.6% of the face value or 0.106*1000 = 106
Current price = 108.1% of the face value = 1.081* 1000 = 1081
Current Yield = 106/1081
Current Yield = 0.098057 = 9.8057%
Current Yield = 9.81% (Rounded to two decimals)
Answer:
A. The Equity Investment account balance will equal 30% of investee's stockholders' equity at date of acquisition, plus the unamortized cost of the patent.
Answer:
Probability, P(n) = 3/8
Explanation: Let standard delivery be S and express delivery be E.
I) When the parcels were sent:
S(n) = 75/100 and E(n) = 25/100
II) When the parcels arrived:
S(n)← = 80/100 and E(n)← = 95/100
The probability a record of a parcel delivery is chosen, P(n) = S(n)*E(n) + E(n)*S(n) = 75/100*25/100 + 25/100*75/100
P(n) = 3/16 + 3/16 = 6/16
∴ P(n) = 3/8
