If 1 pint is equal to 2 cups then 5 pints equals 10 cups
5 times 2 equals 10.
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>
Answer:
18.75 percent
Step-by-step explanation:
150 / 800 x 100 = 18.75
Answer:
22.6 km/hr
Step-by-step explanation:
58.8/2.6=22.6
Answer: 4.4
Step-by-step explanation:
First you need to take 4 from both sides and then your left with 5x=22
Then you divide from both sides and you get 4.4.
That is your final answer.