The equation that models the exponential decline is y = 46348587109809610(0.9861)ˣ if the population over the past 20 years is provided.
<h3>What is the line of best fit?</h3>
A mathematical notion called the line of the best fit connects points spread throughout a graph. It's a type of linear regression that uses scatter data to figure out the best way to define the dots' relationship.
Let's suppose the equation that models the exponential decline is:
![\rm y = a(b^x)](https://tex.z-dn.net/?f=%5Crm%20y%20%3D%20a%28b%5Ex%29)
From the data given, we can calculate the value of a and b:
a = 46348587109809610
b = 0.9861
y = 46348587109809610(0.9861)ˣ
Thus, the equation that models the exponential decline is y = 46348587109809610(0.9861)ˣ if the population over the past 20 years is provided.
Learn more about the line of best fit here:
brainly.com/question/14279419
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Don't listen to the guy below me haha <span> f(h) = 7.5x where you input h for x
so
f(15) = 7.5(15)
f(20) = 7.5(20)
f(25) = 7.5(25) </span>
Answer:
9/10, 80, and 16
Step-by-step explanation:
If 0.9 is what it was (can't read it lol) then that's like 9/10
And just multiply 16 by 5 is 80 so it's 20% of 80
And the last one is 16$
Answer:
Step-by-step explanation:
The perimeter is the dependent variable. TRUE
The length of the side of the square is the dependent variable. FALSE
The value of p(x) depends on the value of x. TRUE
The length of the side of the square is the independent variable. TRUE
The value p(x) can be found by multiplying p by x. FALSE
The perimeter is the independent variable. FALSE