The forward differences for this data is 1, 1, 1, 1, 1, 1 (since 10 - 9 = 1, 11 - 10 = 1, etc). Since we only need one iteration of differences, a linear polynomial will fit the data exactly.
This is the same a taking away 6% so you can say:
72000(100-6)/100
72000(94/100)
72000(0.94)
$67,680
Answer:
$10,240
Step-by-step explanation:
y = 20,000 (.80)^t
y = 20,000 (0.80)^3
0.8^3 = 0.512
0.512 x 20,000 = 10240
Your answer would be A. $10,240.
Answer:
x1 = 0.16203454
x2= 0.04843273+0.06766624j
x3= 0.04843273-0.06766624j
Step-by-step explanation:
The better way to obtain roots of a polynomial when is not easy to analytically factorize is to use software as Matlab or Python. Use the following code in Python
import numpy as np
pol=np.array([1,-0.2589, 0.02262,-0.001122])
roots=np.roots(pol)
print(roots)
Answer:
E) 1
Step-by-step explanation:
this is when both functions have the same value
