Answer:
data shows a positive or negative correlation, we can model the trend in the data using a line of best fit. Example 1 ... A curve of best fit is used to find an equation that best fits a quadratic function.
Step-by-step explanation:
To solve this, let's use the variable 'x' to represent the money invested:
11(0.026(x)) = 6500
0.286x = 6500
Divide:
x = 227272.7272...
We can round up:
x = 227272.73
June has to invest $227272.73
Answer:
x₁ = -4
x₂ = 3
Step-by-step explanation:
x²+ x + 12 = 0
x = {-1±√((1²)-(4*1*-12))} / (2*1)
x = {-1±√(1+48)} / 2
x = {-1±√49} / 2
x = {-1±7} / 2
x₁ = {-1-7} / 2 = -8/2 = -4
x₂ = {-1+7} / 2 = 6/2 = 3
Check:
x₁
-4² + (-4) - 12 = 0
16 - 4 - 12 = 0
x₂
3² + 3 - 12 = 0
9 + 3 - 12 = 0
Answer:
x = 27
Step-by-step explanation:
The angle at any point on a straight line is 180 degrees.
The middle line over there is creating a right angle which is 90 degrees.
This must mean that both sides are 90 degrees.
3x+9 = 90
3x = 81
x = 27
Answer:
$487.2
Step-by-step explanation:
you multiply 14 and 12 then you get the answer of 168 and multiply that with $2.90 then you get the answer of $487.2.
