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
The answer is quadrant 4 or IV
Answer:
5
Step-by-step explanation:
y = 15 - 3x
0 = 15 - 3x
15 - 0 = 3x
x = 5
Answer:
Step-by-step explanation:
Algebra level
Answer:
I think you may have forgot to put in the rest of the question mate
Step-by-step explanation:
