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
y-y1 = m (x-x1) y+3 = (1/4)(x+4) [using point (x1,y1)] or y–1 = (1/4)(x–12) [using point (x2,y2] [let's use this one since you did] To put this into Standard Form (Ax+By=C), y–1 = (1/4)(x–12) 4y - 4 = x - 12 -x + 4y - 4 = -12 [subtract x from both sides] -x + 4y = -8 [add 4 to both sides] x - 4y = 8 [multiply by (-1) to have x-coefficient positive
Answer:
12:42 pm
Step-by-step explanation:
that is my guess to be honest.
looking at the time intervals and the increase in the battery lvls it shows in 10- 10 minutes intervals the battery lvl increase at 9-8 percent and at the 20 minute time it increased by 20 percent so just add the time.
