# data[].attributes.body
The purpose is to compare the number of people in a home with their household water usage.

The data came from our Data Science class data.

The question I am trying to answer is: How does the number people in the household affect the water usage in that household?

# data[].attributes.body
The Plot demonstrates the correlation between the number of people in each house compared to the amount of water used.

What is the equation for the least squares regression line?

y=190x-144

My household is on the high side in terms of people living in the house but on the lower side of water usage. This could contribute to the low r2 value

# data[].attributes.body
Theoretically, I believe the number of people in a household is directly correlated to water usage; but we can not provide that with this data.

I believe is the data was more accurate and reliable (confounding factor), we would see a causal effect.

Typically, the more people in a household showering, washing laundry and dishes, etc. should have a direct impact on water usage.

Our Data did not show a strong correlation between other variables and water usage either. I expected this because the data is unreliable.

# data[].attributes.body
We can use the city data to predict the water usage for larger households or even our school, city, or state; but we can not make these predictions based on our model. Our model has unreliable data. The data in our model is high school student's guesses about their household's water usage instead of actual data from their water bills.

The city of Roseville estimates that residential customers use about 100 gallons of water per day, per person. Based on this estimate, we would assume there is a correlation between household size and water usage.