Which statement correctly describe the data shown in the scatter plot?

The scatter plot shows a negative association.

The scatter plot shows no association.

The point (2, 14) is an outlier.

The scatter plot shows a linear association.
A graph measuring variable y in relation to variable x. Multiple coordinates indicate a pattern of variable y increasing as variable x increases

Hello!  I wanted to explain the answer which someone might have already answered..  First off, I want to let you know that the Answer is "The scatter plot shows a linear association."  But how?  Well, linear means: "arranged in or extending along a straight or nearly straight line." Which if you didn't notice.. All the points on the graph, make up a generally straight line.

"No association" means there is no line or association with any of the points.  So, you'd pick that if the points were all over the graph in no order, line or combination; which isn't the case.  

"Negative association" is when the top of the points come from the left of the graph lowering into the right. While Positive association would be from right to left.  So, it couldn't be choice "Negative Association" since it's coming from right to the left of the graph.

"The point  (2, 14) is an outlier."  If you didn't know, an outlier is one dot out of a whole group.  Think of it as if EVERYONE was wearing pink except one; who wore black.  It's just the out of placed kind of dot; but it's supposed to be there.  When you look at the graph, there is no dot or outlier at point (2,14) so, that's automatically out as well.

Ending with the last choice "The scatter plot shows a linear association." which is not just true but is the only one that'd make since.  So, I hope this helped you!

Thanks!

Step-by-step explanation:

answer: check all that apply, where the options?

step-by-step explanation:

for a it would be 24 children.

for b i don't understand the question. is it saying for each individual person they pick 5 reds to 7 greens or is it the whole group. clarify and i hope this can you.

step-by-step explanation: