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: he will make $2784 in 60 days
Hello
let : f(x) = 6 + √(14+x) - <span>√(9x)
f(2) = </span>6 + √(14+2) - √(9×2)
f(2) = 6 + √(16)-√(18)
f(2) = 6 + 4 - √(18) = 10 - √(18)
distribute the 8 to the 5 and x. then distribute 11 to 9 and x.
(40+8x)=(99+11x)
-11x -11x
-3x+40=99
-40 -40
-3x= 59
divide three on both sides
x=59/-3
final answer x=-59/3
Answer:
$7.88
Step-by-step explanation:
87.56*0.09=7.88