As with simple linear regression, we desire the residuals to:
- Have constant variance.
- Have a mean close to 0.
<h3>What is a simple linear regression?</h3>
It should be noted that a simple linear regression simply means a model that describes the relationship between a dependent variable and an independent variable.
In this case, as with simple linear regression, we desire the residuals to have constant variance and have a mean close to 0.
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Answer:
x would be equal on both sides so if you use that equation you'll find x and be able to solve for both sides
Step-by-step explanation:
Answer:
(3, -2) and (9, 0)
Step-by-step explanation:
x-3(-2)=9
x+6= 9
x=3
9-3y=9
-3y=0
y=0
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