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:
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F(10) = (10)^2 + 1
= 100 + 1
= 101
Answer:
Mean
Step-by-step explanation:
Given
![Data: 4, 4, 2, 4, 4, 1, 3, 4, 2, 4](https://tex.z-dn.net/?f=Data%3A%204%2C%204%2C%202%2C%204%2C%204%2C%201%2C%203%2C%204%2C%202%2C%204)
Required
Best measure of center
The mean is considered the best measure of center when there are no outliers in the given data.
Outlier is when a particular data set is far away from other datasets.
For instance: 20 is an outlier in the following data sets: ![4, 4, 2, 20, 4, 4, 1, 3, 4, 2, 4](https://tex.z-dn.net/?f=4%2C%204%2C%202%2C%2020%2C%204%2C%204%2C%201%2C%203%2C%204%2C%202%2C%204)
Also, the given data are not open-ended.
An open-ended data is as follows: ![1, 2, 3, 4, 5\ or\ more](https://tex.z-dn.net/?f=1%2C%202%2C%203%2C%204%2C%205%5C%20or%5C%20more)
Since we do not have any of the above conditions, then the mean is the best center to use.
Answer:
The one in the right top hand corner. It shows one arrow pointing up and one to the right.
Step-by-step explanation:
I can't really explain it.