Which scatterplot shows the strongest negative linear association? On a graph, points are grouped closely together and increase. On a graph, points are grouped closely together to form a line and increase. On a graph, points are grouped closely together and decrease. On a graph, points are grouped closely together to form a line and decrease.

The strongest negative linear association is depicted by the graph where points are grouped closely together to form a line and decrease.

Therefore, a graph with closely grouped points which forms a line and decreases infers a strong negative linear association.

Learn more :link

On a graph, points are grouped closely together to form a line and decrease.

Explanation:

Negative association is where the points decrease as you move from left to right. In other words, you move downhill as you move from left to right. There could be random upward bumps here and there, but overall the general trend is down.

Linear association is when the points are close to the same straight line, known as the regression line.

When points have strong negative linear association, we combine the two ideas mentioned above. The points are close to the same straight line and this line has a negative slope. The correlation coefficient r is close to r = -1.

Choice C is a close answer, but choice D is the better answer due to the "to form a line". If all points are on the same straight line, then r = -1 exactly and we have the strongest possible negative correlation.

answer: 2x + 2 − 2 = 10 − 2; subtraction property of equality

step-by-step explanation:

answer: 48

just remember to use pemdas:

parentheses

expressions

multiplication

division

addition

subtraction