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:
Point (2, 20) does not lie on the given curve.
Step-by-step explanation:
Let us see explanation:
Answer:
3/10
Step-by-step explanation:
So, you already have the experimental probability. The theoretical probability is 5/10, but that's not what you're lookig for.
Hey there! :)
-6 < -2x < 14
We're trying to solve for x. To solve for x, we must isolate x.
So, let's divide everything by -2!
-6 ÷ -2 < -2x ÷ -2 < 14 ÷ -2
**Remember : when dividing by a negative number, you MUST switch the sign! So, if the sign is ">" then we switch it to "<" and the other way around **
3 > x > -7
So, our answer is : → 3 > x > -7
~Hope I helped!~
