# data[].attributes.body
Purpoase:

To show where the water usage is in the household and how it goes down or up and the reasons for it.

Questions:

Is there a relationship between household size and water usage? What does the R value tell us in our least squares regresions line? Is this a spurious or causal relationship? Are there any mediating or confounding variables that help explain the story?

# data[].attributes.body
- The sctter plot shows a good image of line of the best fit and the less squares are therre the better is ti. This also tells us abut which could be the fit for this line, the R² for this is .207 meaning all the data is as close as posile to the line and this gives the best fit on the linne.

-Equation: Y=44.6x+247

-The slope in the equation means how much water goes up for the amount of people in the house hold, and the y-intercept means the the begining point of water usage for the house hold or the water usage for 0 people the usage of whater to stuff where is not required for people to be (ex: sprinkles)

# data[].attributes.body
My house hold data is a little bellow the line menaing I use less water than usual families of 3 people. The line means the amout of water the normal household use daily, everything above is more than usual and the below means lower than the usual. My household data has a residual of the lowest square on the line. Residual is the squares or the point closer to the line of the bestfit. The R² is .207 which is not the best because a lot of data is away from the line but the LSRL is the best it could be because it makes the less squares, and this makes the data graph the best fir for the line. A lot of data is off but also a lot of it is close to the line making less squares and regiduals are pretty close.

# data[].attributes.body
The water usage and the people in the hosue hold is a Casual relationship, more people in the house hold more water is being used but sometimes the water usage doesn't match up with the people in household. There is also Mediating variables that explains the water usage and this could be the amout of dishes left after a family meal or the amout of shawers that are being taken by the family members through out the day and this also can change the data for the people and the amout of water used in the house. After doning some researcha and thinking I came to an idea that a lot of peole shower time depends on not how long they shower for it is mostly on their mood, or on their time limits throught out the day, and also a the time in the sink can also mean the amout of dishes left after the fmaily meel and how many dishes were used to prepare the food.

# data[].attributes.body
First of the variables is the water used in the kitchen sinks and how much we water we use in there and I did expect to be a higher number because it just depends on how long peole wash their dishes and the amout of it too.

# data[].attributes.body
The secon variable is the amout of showers the household members take daily and I also expected this variable to change because is just depends on how many times w shower, temerature outside, peoples mood and more.

# data[].attributes.body
- We can use the city data to find the data for the smaller number such as for school water usage or for some other building but the data wont be accurate, but it would be pretty close to what we want to see in at the end of the equation.

-The equation that I used to find the water usage for the Roseville was

y=133x+76280

y-133(162,674)+76280

y=21,711,922

-Basicaly the city of Roseville uses 21 million galons of water in one day and this is the water used all over the whole city, schools, factories, busnesses and more.