Answer:
-3.56 i think .
Step-by-step explanation:
Answer:
zero (0)
Step-by-step explanation:
-4^0=-1
-1+1=0
Answer:
The answer is either 18pi or 56.55
Step-by-step explanation:
Answer:
12.6 square inches
Step-by-step explanation:
A=(1/2)bh
A=(1/2)12*2.1
A=12.6 square inches
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>