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.
Answer:
the third one
Step-by-step explanation: hope this helps <3 :)
Answer: Z'(-7;8)
suppose the coordinates of Z' is Z'(x,y)
we have:
=> Z'(-7;8)
Step-by-step explanation:
Step-by-step explanation:
4x^2-9
=(2x)^2 -3^2
=(2x+3) (2x-3)
Hope this helps you.
A correlation coefficient of 0.1 represents a weak linear relationship.
