Answer:
It is measured using a measure called variance inflation factor (VIF).
Step-by-step explanation:
This is the statement that is true about multi-collinearity. Multi-collinearity is a situation that can sometimes arise when dealing with a multiple regression model. Multicollinearity refers to the occurrence of high intercorrelations among various independent variables. This can often lead to results that are skewed or misleading. The main way in which multi-collinearity can be measured is by using the variance inflation factor (IVF). This allows us to quantify the severity of multi-collinearity.
Answer:
The little lines mean the sides are the same. Like length.
Ends up=( K+5)1/2 -2
ends up=K/2+2.5-2=K(.5) + .5
<span>12/25=x/88
12(88)=25(x)
1056=25x divide both sides by 25
x=42.24</span>
Answer:
E)82
Step-by-step explanation:
The formula is
A^2 + B^2= C^2
the two sides that make up the right angle is always A and B
