Answer:
is thier anwser chocies?
Step-by-step explanation:
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:
<u>Two</u>
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Step-by-step explanation:
The solution for any system of equations is the intersection points between the graph that representing the system of equation.
So, for the given system of equation, we have a circle and a parabola.
As shown in the figure, The circle and parabola are intersects at two points
So, there are two solutions for the system of equations on the graph.
So, The answer is option two.
X - 7 > 10
x > 10 + 7
x > 17
3x < = 21
x < = 21/3
x < = 7
5a - 2 < 18
5a < 18 + 2
5a < 20
a < 20/5
a < 4
2t + 8 > = -4 (t + 1)
2t + 8 > = -4t - 4
2t + 4t > = -4 - 8
6t > = - 12
t > = -12/6
t > = -2
Answer:
-5.457875
Step-by-step explanation:
