Unit 3 Project by Tyler Lott

Questions

tylerlott2 — 2025-02-27 17:14:12 UTC

Is household water usage and the number of people in a household correlated? Is this a casual or spurious relationship? Are there any confounding or mediating variables which help tell the story?

Data Collection

tylerlott2 — 2025-02-27 17:19:14 UTC

The data will be from a Google survey to all students in period 1 Data Science class.

Section D

tylerlott2 — 2025-03-05 18:11:27 UTC

y = 268x -641

x = # of people

y = water usage

Roseville water usage in ONE day.

Pop. = 162,674

y=268(162,674)-641

y = 43595991 gallons of water used in one day

Final Claim

tylerlott2 — 2025-03-07 16:48:50 UTC

I found out that people use a lot of water every month, and having more people in that specific household adds to the total amount of water usage. I also discovered that people as indivduals use thousands of gallons of water each month. This shows that the California Gov. has the right to ask their citizens in the state to conserve water throughout seasons where we are more probable to droughts. People are super wasteful with baths, sinks, gardens, pool, etc. people only use these wrongfully to increase the total amount of water usage.

Water Usage In Period 1 Household

tylerlott2 — 2025-03-07 16:58:27 UTC

This graph showcases all the data points from period 1 Data Science students average water usage in their household.

My Households Water Usage

tylerlott2 — 2025-03-07 17:09:40 UTC

The amount of water in my house is average compared to other households in this data set. It compares to the least squares regression line and is right on it.

Section C Model 2

tylerlott2 — 2025-03-07 17:15:28 UTC

Section C Models

tylerlott2 — 2025-03-07 17:16:57 UTC

Strong Correlation

How the LSRL Fits the Data

tylerlott2 — 2025-03-07 17:20:17 UTC

The least squares regression line shows how household size and water usage have a weak correlation b/c the r^2 line is .309 (weak correlation)

Equation for Least Squares Regression Line

tylerlott2 — 2025-03-07 17:21:36 UTC

y = 267x - 641

Section C

tylerlott2 — 2025-03-07 17:23:42 UTC

There is a casual relationship and no co founding or mediating variables

Section C

tylerlott2 — 2025-03-07 17:24:35 UTC

I learned from the lateral reading that an increase in water usage is mainly from the 2 variables being used. It confirmed my initial thoughts about water usage in general.

Data Collection

tylerlott2 — 2025-03-07 17:25:57 UTC

This data is coming from a Google survey from all 1st period students in Data Science at Oakmont high-school

The Context of the Slope / Y - Intercept Mean in the Line of Best Fit

tylerlott2 — 2025-03-07 17:30:52 UTC

The slope will tell us how much water usage increases per + individual in the household. Although, the Y - Intercept represents the water usage when there are - people in that household. This can tell us that even if the house is empty, the house can still utilize water. With that info, the line of best fit is plugging the # of people in the house with the X value in the equation puts number from 1-20 to calculate the line of best fit.

Section C

tylerlott2 — 2025-03-07 17:39:33 UTC

Water usage is based on the amount of people and it does not affect all water usage however it can overtime increase. The variables that increase majority of the water usage in a household is the amount of time a household flushed the toilet and showers a household takes on average daily.