Answer:-57
Step-by-step explanation:
all you do is multiply-8x7.
Answer:
3
Step-by-step explanation:
I'm not sure how to explain without pictures, I apologize.
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.
Linear functions have the general form y=mx+b, where m is the slope. The first function has a slope of 2, while the second one has a slope of -1, so y=2x+1 has a greater slope.
