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
Answer:
Is there any answer choes or something?
First term is -7, so a_1 = -7
To get the next term, we add on 4. We can see this if we subtract like so
d = (2nd term) - (1st term) = (-3) - (-7) = -3+7 = 4
So d = 4 is the common difference.
Apply a_1 = -7 and d = 4 to get...
a_n = a_1 + d*(n-1)
a_n = -7 + 4*(n-1)
a_n = -7 + (n-1)*4
Answer: Choice A
(13-2x)(13-2x)
(13+-2x)(13+-2x)
(13)(13)+(13)(-2x)+(-2x)(13)+(-2x)(-2x)
169-26x-26x+4x^2
4x^2-52x+169
I hope that's help !
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Answer:
it is 4th one for 14 it is 2nd one
Step-by-step explanation:
