# data[].attributes.body
Forms a relationship

# data[].attributes.body
A scatter plot is something that forms a relationship

# data[].attributes.body
Scatter plots can be positive or negative

# data[].attributes.body
You dive the mean by the amount of numbers there is

# data[].attributes.body
There positive and n

# data[].attributes.body
Forms a relationship

# data[].attributes.body
Forms a relationship

# data[].attributes.body
Positive or negative

# data[].attributes.body
It can be negative/positive

# data[].attributes.body
I think a scatter plot is when it forms a relationship

# data[].attributes.body
you have to find out if its fair ir not

# data[].attributes.body
Mad is when you add up all the data

# data[].attributes.body
Adds up all date points

# data[].attributes.body
It can be positive and negative

# data[].attributes.body
They both can be positive or negative

# data[].attributes.body
Scatter plots can be. Positive or nagative / forms a relationship

# data[].attributes.body
Forms a relationship

# data[].attributes.body
Add up all data points

# data[].attributes.body
You have to add all the data points

# data[].attributes.body
They form a relationship

# data[].attributes.headline
You need to find the distance for a stepm

# data[].attributes.subject
You need to find the distance for a stepm

# data[].attributes.body
Scatter plots can be positive or negative

# data[].attributes.body
Biased or fair

# data[].attributes.body
If the random sampling doesn’t make sense that means is it fair

# data[].attributes.body
You have to add

# data[].attributes.body
It can be negative or positive

# data[].attributes.body
Relationship and conbine the numbers

# data[].attributes.body
Something that forms a relationship

# data[].attributes.body
you have to add all the data and then divide it for yur mean

# data[].attributes.body
Forms a relationship

# data[].attributes.body
Adds up all the data points

# data[].attributes.body
Positive or negative

# data[].attributes.body
It is biased or fair

# data[].attributes.body
You divide the mean by the numbers of of entries

# data[].attributes.body
That it can be fair or biased

# data[].attributes.body
It can be biased or fair

# data[].attributes.body
Add up all data points

# data[].attributes.body
It adds up all data points

# data[].attributes.body
Add up all data points

# data[].attributes.body
They form a rel

# data[].attributes.body
It can be random

# data[].attributes.body
When add up all the data points

# data[].attributes.body
Add the numbers up

# data[].attributes.body
It’s biased or fair

# data[].attributes.body
Add up all data points

# data[].attributes.body
A scatter plot can be positive or ne

# data[].attributes.body
Add up all of he data points

# data[].attributes.body
It has to be random

# data[].attributes.body
Add all data pointed

# data[].attributes.body
It has to be random

# data[].attributes.body
MAD is when you add up all the numbers

# data[].attributes.body
Biased or fair

# data[].attributes.body
Add up all data points

# data[].attributes.body
Forms a relationship

# data[].attributes.body
They are biased or fair

# data[].attributes.body
It has to be random or not random

# data[].attributes.body
Biased or fair

# data[].attributes.body
It can be positive or negative

# data[].attributes.body
It’s random

# data[].attributes.body
scatter plots are positve/negative or have no corolation

# data[].attributes.body
Adds up all the points

# data[].attributes.body
U add alot

# data[].attributes.body
Baised or fair

# data[].attributes.body
Adds up all data

# data[].attributes.body
It is weather you think it is biased or fair

# data[].attributes.body
It has to be random

# data[].attributes.body
It has biased and fair

# data[].attributes.body
It can be random

# data[].attributes.body
Base or fai

# data[].attributes.body
Base or fair

# data[].attributes.body
Positive negative or no correlation

# data[].attributes.body
Add all values then divide by the amount of numbers there are

# data[].attributes.body
Population = big amount
Sample = small amount