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
Let s represent the number of students surveyed.
.. 0.40s play baseball
.. 0.60*(0.40s) play soccer and baseball
.. 0.60*0.40s = 12 . . . . . . . 12 students play soccer and baseball
.. s = 12/(0.60*0.40) = 12/0.24 = 50
Jonah surveyed 50 students.
_____
This is the number of students required to match Jonah's calculations.
Answer:
$1.16
Step-by-step explanation:
Answer:
Leave em alone or go be noisy?
Step-by-step explanation:
Answer:
Step-by-step explanation:
The given line is in slope-intercept form,
y = mx + b,
where m is the slope.
The slope of the given line is 1/3, so m = 1/3.
Parallel lines have equal slopes, so the slope of the parallel line is also 1/3.
y = 1/3 x + b
Now we can find the equation of the parallel line through point (6, 3) by using the given point's coordinates for x and y and solving for b.
3 = (1/3)(6) + b
3 = 2 + b
b = 1
Equation:
