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.
Learn more about regression on:
brainly.com/question/25987747
The expression for Wendy's weight would be p-8.
Since Wendy is 8 pounds less than Jean, we take Jean's weight and subtract 8. If Jean's weight is p, then Wendy's would be p-8.
Yes that’s your answer!! Good job!!
Answer:
Step-by-step explanation:
We have the expression:
The first thing we want to do, is to have the same denominator in both equations, then we need to multiply the first term by (2/2), so the denominator becomes 4*x
We will get:
Now we can directly add the terms to get:
We can't simplify this anymore
Answer:
The result will be: 5x³ -11x² -9x + 18
