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
1st) 275+70-50 Lastly: Subtract -350 - 295 = - 55
275+70 = 345 The answer is - 55
345 - 50 = 295
transversal angles
Step-by-step explanation:
When two or more lines are cut by a transversal, the angles which occupy the same relative position are called corresponding angles . When the lines are parallel, the corresponding angles are congruent .
The m<B for question 1 is 46 degrees, for question 2 the m<Y is one hundred and seventeen degrees.
Almost positive this answer is the amount of hours she would work. because if she worked more hours her outcome would be a larger paycheck and if she worked less hours her paycheck would be smaller.
