Answer:
I don't know sorry for that I tried my best
I will attach google sheet that I used to find regression equation.
We can see that linear fit does work, but the polynomial fit is much better.
We can see that R squared for polynomial fit is higher than R squared for the linear fit. This tells us that polynomials fit approximates our dataset better.
This is the polynomial fit equation:
I used h to denote hours. Our prediction of temperature for the sixth hour would be:
Here is a link to the spreadsheet (
<span>https://docs.google.com/spreadsheets/d/17awPz5U8Kr-ZnAAtastV-bnvoKG5zZyL3rRFC9JqVjM/edit?usp=sharing)</span>
It would be y=3x+2 because in y=mx+b, m is the slope and b is the y-intercept
Answer:
y=3x-35
Step-by-step explanation:
y=ax+c
a=slope=3; x and y are given, 9 and -8. put into the formula and solve for c.
-8=9*3+c
-35=c
y=3x-35