E
Because if you do the math
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:
Reflection over y-axis (-x,y)
Step-by-step explanation:
Reflection over y-axis (-x,y)
A (-2 , 4) , A'( 2,4)
<em>you can check the rest.</em>
Answer:
9% = 450
10% = 500
8% = 400
Step-by-step explanation:
Answer:
5×3+5×w
Step-by-step explanation:
