Based on the information given, the thing that can be concluded is that Brand A's data are probably linear while Brand B's data are probably not.
<h3>What is a Linear
regression?</h3>
It should be noted that a linear regression simply shows the relationship between the dependent and independent variables.
If residuals for brand A are randomly scattered above and below the x-axis, and the residuals for brand B are also randomly scattered but clustered closer to the x-axis, it implies that brand A's data are probably linear while Brand B's data are probably not.
A random scatter of points on the residual plot simply implies that there's a linear relationship in the original data set.
Learn more about linear regression on:
brainly.com/question/25987747
It would be first 31/40,0.7,78%
It might be wrong
Every time the y-value decreases by 1, the x-value increases by 2, so the slope is -1/2 throughout the line.
Answer:
Step-by-step explanation:
2x+3x=4
5x=4
x=4/5
