<h3>
Answer: A) Only plot A</h3>
The reasoning is because all of the points for plot A are fairly close to the same straight line. This straight line has a positive slope. We call this line the regression line.
In contrast, plot B seems to have the points randomly scattered about. We can't draw a good fitting straight line to get near all of the points. So plot B does not show positive linear correlation.
Side note: the correlation coefficient for plot A will have its r value close to 1. The r value for plot B will be close to 0.
Answer:
The answer is
Step-by-step explanation:
Use distributive property to solve this expression.
Answer:
the answer is a
Step-by-step explanation:
just did the test
I'm assuming each tickmark is 1/4 = 0.25
If that assumption is correct, then going one tickmark to the left of -3/4 lands you on -4/4 which simplifies to -1.
So -1 is one tickmark to the left of -3/4
Again, this all hinges on the assumption that each tickmark is 1/4 a unit away from its neighbor.
Answer:
1.5
Step-by-step explanation:
The constant of proportionality is the slope
m= (y2-y1)/(x2-x1)
Pick any two points
m = (12-6)/(8-4)
= 6/4
= 3/2
= 1.5