Unit rate (rise over run) can be determined from a graph by the amount a straight line goes up and across on a graph. The number the line rises on the graph (each point on the axes it crosses) goes over the the amount it goes across on the graph in fractional form.
I pretty sure your answer is yes but correct me if i’m wrong
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
Answer:
The answer to your question is: A = 282.6 in²
Step-by-step explanation:
Data
height = 9 in
radius = 5 in
Formula
A = 2πrh
Process
A = 2(3.14)(5)(9)
A = 282.6 in²
