# data[].attributes.headline
Roseville's actual amounnt of water usage 

# data[].attributes.subject
Roseville's actual amounnt of water usage 

# data[].attributes.body
100 million gallons

# data[].attributes.body
To show that water usage and people per household are not related because there are a lot of missing mediating variables, because with out them the data is uninformative and not accurate at all

# data[].attributes.body
What variables are missing? how much data is it missing? by how much is the data off? What does the r and r² value tell us about the correlations. What type of relationship do they have spurious or casual? What variables are missing mediating or confounding?

# data[].attributes.headline
Roseville's water usage with out  equation

# data[].attributes.subject
Roseville's water usage with out  equation

# data[].attributes.body
225.0349 + 53.5741(160,261)=8586063.875

# data[].attributes.headline
Can we use his equation for other areas, places, and etc..?

# data[].attributes.subject
Can we use his equation for other areas, places, and etc..?

# data[].attributes.headline
what type of relationship is this ? what variables are missing?

# data[].attributes.subject
what type of relationship is this ? what variables are missing?

# data[].attributes.body
This is a causal relationship. The two variables are related but if you were to add more information to what people use water for it would be more accurate.

There are confounding variables that can be included in this like if they have a swimming pool, how many kids, how many adults, baths or showers, dishwasher or handwashing

# data[].attributes.body
r < -0.6 or 0.6 < r

0.35 < R²