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>
I hope you find the answer I need point sorry
3x2x(1/4)= ????? And then u find the answer
It’s 500.07
all i did was solve x-7%=500 and got 500.07.
Answer:
26 Hours
Step-by-step explanation:
65 x 28 = 1820
70 x 26 = 1820
This is when they will be right next to each other