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:
His mom’s age will be 1/% of Benny’s age at that time.
Step-by-step explanation:
14>>100%
1>>(100/14)%
50>>50(100/14)%
50>>25(100/7)%
50>>(2500/7)%
50>>357 1/7%
so in two years Benny will be 14 and his mom will be 50.
Answer:
86, 593
Step-by-step explanation:
1 1 1
8 2 6 9 4
+ 3 8 9 9
_____________
8 6 5 9 3
Answer:
Step-by-step explanation:
