Answer:
Discarding the influential outlying cases when detected is also known as flagging outliers in a data set, and this is because outliers do not follow the rest of the dataset's pattern. if this outliers are not discarded they would have a negative effect on any model attached to the dataset
Step-by-step explanation:
In a regression class ; If extremely influential outlying cases are detected in a Data set, discarding this influential outlying cases is the right way to go about it
Discarding the influential outlying cases when detected is also known as flagging outliers in a data set, and this is because outliers do not follow the rest of the dataset's pattern. if this outliers are not discarded they would have a negative effect on any model attached to the dataset
Pretty sure the answer is 8
If the traslation is T(x,y)=(x-1,y+1) then:
Therefore A'=( -7,3).
Answer:
It's an equilateral triangle so the measure of each angle here=60 degrees
s..4x degree=15*4
hence, the value of X=15
<h2>Have a good day Ahead:)</h2>
