<u>Explanation</u>:
This is an example of a linear programming problem.
THE CONSTRAINTS
Let d, c represents number of desk and chair.
Marketing restrictions
c ≥ 2d; which can be written as
2d - c ≤0
Wood restriction
4d + 3c ≤ 20
OBJECTIVE FUCTION (MAX)
= 40d + 25c
Where d ≥ 0, c ≥ 0
With this details you can then find the solutions either graphically or using any other linear programming solution methods.
Answer:
Supply and Demand
Explanation:
Although there are many factors which are given below:
1. Location of the real property
2. Supply and demand
3. The rate of interest
4. Population size
5. Market trends of property, etc
But the primary driver is supply and demand because if the demand of the property rise than the supply, the price of real property is rising whereas if the supply of the property is rise than the demand, the price of real property is declining
Answer:
Longly will receive $1,817.43 from selling the bond.
Explanation:
As the coupon rate is 8%; we have annual coupon payment = 2,000 x 8% = $160.
The price of the bond Longly will receive is equal to the present value of 20 annual coupon payment plus the present value of $2,000 face value repayment in 20 years time; with the two streams of cash flow discounting at the market rate at the date of issuing 9%; which is calculated as:
[ ( 160/9%) x [ 1 - 1.09^(-20) ] ] + ( 2,000 / 1.09^20 ) = $1,817.43.
So, the answer is $1,817.43.
Answer:
358.33 times
Explanation:
The computation of the simple forecast combination is shown below:
= (Forecast sales done by Mary + Forecast sales done by Susan + Forecast sales done by Sarah) ÷ (Total number of observations)
= (341 + 535 + 199) ÷ (3)
= (1,075) ÷ (3)
= 358.33 times
We simply divided the total sales forecasted done by each one by the total number of observations
