Answer:
The answer is B - A high correlation between two or more independent variables.
Step-by-step explanation:
There are many factors that shows the possible presence of multicollinearity in a regression analysis. Multicollinearity occurs when independent variables in a regresssion model are correlated; the independent variables as their names implies is to be fully independent (on their own).
Based on the options; multicollinearity occurs when there is a high correlation between two or more independent variables.
(g-f)(x)=g(x)=f(x)
(g-f)(x)=6x-4+x^2
(g-f)(x)=x^2+6x-4 then:
(g-f)(3)=3^2+6*3-4
(g-f)(3)=9+18-4
(g-f)(x)=23
Answer:
This equation is equal to y=3/2x-2
Step-by-step explanation:
