Answer:
b. no autocorrelation.
Step-by-step explanation:
The Durbin-Watson test assumes that
H0:ρ=0
HA:ρ≠0
p=0 is a statement for the null hypothesis that assumes that the error term in one period is not correlated to the error term in the previous period.
The Durbin-Watson test is used in regression analysis to test for autocorrelation. The results from the test would always range from 0 to 4. A value of less than 2.0 indicates positive autocorrelation. A value of 2.0 indicates no autocorrelation, and a value of 2.0 to 4.0 indicates negative autocorrelation.
I believe the answer would be A
Answer:
4b-3d
Step-by-step explanation:
first add the like terms
2b - 8b + 10b = 4b
12d - 15d = -3d
then add the results.
Answer:
B) 3.0 ml
Step-by-step explanation:
