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>
One weights 30lbs the other weights 54lbs
Answer:
388.5/x
Step-by-step explanation:
multiply:
(-4004+2023-48-2)/ -4 + 2x +1
Simplify:
-2031/ -3 +2x
divide by -3
677/2x
388.5 / x
as simple as you can go
hope this helps!
Exact Form:
-1/3
Decimal Form:
-0.3 (with a line over the 3)
Answer:
B) 625
Step-by-step explanation:
(-5)^4
-5*-5*-5*-5
25*25
625