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
Step-by-step explanation:
Given that,
a)
X ~ Bernoulli
and Y ~ Bernoulli 
X + Y = Z
The possible value for Z are Z = 0 when X = 0 and Y = 0
and Z = 1 when X = 0 and Y = 1 or when X = 1 and Y = 0
If X and Y can not be both equal to 1 , then the probability mass function of the random variable Z takes on the value of 0 for any value of Z other than 0 and 1,
Therefore Z is a Bernoulli random variable
b)
If X and Y can not be both equal to 1
then,
or 
and 

c)
If both X = 1 and Y = 1 then Z = 2
The possible values of the random variable Z are 0, 1 and 2.
since a Bernoulli variable should be take on only values 0 and 1 the random variable Z does not have Bernoulli distribution
Answer:
7-2x=y
Step-by-step explanation:
When a point passes through a line it satisfies its equation
(X-x0 )m= y-y0
Slope = m = -2
(X-2 )(-2)=y-3
4-2x=y-3
7-2x=y
Get the app Socratic and then take a pic, it will explain it better than anybody on here can
Answer:
Area of a circle=pi*(radius)^2
Diameter=2*radius
=> radius=5 m
Area=3.14*(5)^2=3.14*25=78.5 m^2
Step-by-step explanation: