1.3 x 10^1
hope that helped
let me know if i am right please
Answer:
-4(-7/30)-3/5=1/3
4(-1/15)+3/5=1/3
Step-by-step explanation:
1. -4x-3/5=1/3
-4x=1/3+3/5
-4x=14/15 <- divide both sides
x= -7/30
2. 4x+3/5=1/3
4x=1/3-3/5
4x= -4/15 <-divide both sides
x= -1/15
100 yd * 3ft/1 yd * 12 in /1ft
100*3*12 in
3600 in
Answer:
number 1 option
Step-by-step explanation:
Sierra
10p + 5s = 115
Amy
1p + 3s = 34
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>