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:
11 m by 18 m
Step-by-step explanation:
The area is the product of two adjacent sides of a rectangle. The perimeter is twice the sum of two adjacent sides, so that sum is (58 m)/2 = 29 m.
We want to find two factors of 198 that sum to 29.
198 = 1·198 = 2·99 = 3·66 = 6·33 = 9·22 = 11·18
Of these factor pairs, only the last one has a sum of 29.
The dimensions of the pool are 11 meter by 18 meters.
Y=68+4x
100=68+4x
-68=-68
32=4x
Divide both sides by 4
x=it will take 8 min. for the water to reach 100 degrees
y=total degrees
x=# of minutes