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Is there a relationship between household size and water usage?

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What can I take away from the scatter plot? Well from what I can see the different amounts of water usage in households of our class compared to amount of people in the household.

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So in unit 3 we took data from everyone in the class on how many people there are in their house and the amount of water they use as a household.

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This is the equation that we received from the data in our least square regression line.

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Slope: is the number of gallons per day

Y-intercept: The average number of gallons

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My household uses on average 238 gallons per day. This is under the line which means I use less water than the average in the class

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The r2 value means how accurate the data is. The closer it is to one the more accurate the data is. So in this case the data is very inaccurate because is below .1 percent

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What statements can be made about the question?

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What statements can be made about the question?

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Well we can see off of the data that the water usage and the amount of people in the house have slight correlation but more or less has little to no correlation. Which would make this a Spurious relationship.

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I believe this has some mediating variables because the data doesn't really have a consistent path that it increases in. It kinda just does what it want to do.

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My final claim is that the two variables have a spurious relationship they seem like they should have a correlation but when you look at the data it does not make sense.

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Can this info be used for larger facilities?

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Can this info be used for larger facilities?

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I believe it can be used but the info will be pretty inaccurate so there for it would be useless because you don't want to be using useless information when you want to figure something out.

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Calculations for Roseville daliy water usage

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Calculations for Roseville daliy water usage

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This value is close to the actual value but still so far. This what i was talking about when i said the equation is inaccurate because the real daily average was around 13 million gallons but here we got 8.1 million.