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
If the 2q is raised to the second power the answer is 2q^2+7q+3
Answer:
11.34x + 9.45y = 141.75
y = (141.75 - 11.34x)/9.45
y = -1.2x + 15
Draw a straight line only in the first quadrant connecting these points:
(0,15)
(12.5,0)
A. y=3/2x
B. y=3/2x
C. 18
My Dad helped me with this.