Unit 3 Project by Adrian Cortes

Section D (2nd Bullet Point

adriancortes7 — 2025-03-05 18:11:30 UTC

y=268x-643

x=# of people

y=water usage

Roseville water usage in ONE day.

Population=162, 674

y=268(162,674)-643

y=43595989 gallons of water used in one day

Section A

adriancortes7 — 2025-03-13 08:05:23 UTC

The goal of this project is to examine how household water usage varies. The background information is based on class data that provides insight into water consumption patterns. The focus is on determining whether there is a correlation between the number of people in a home and the amount of water used. Additionally, this project considers the role of possible confounding factors and their influence on household water usage.

Section B (Class)

adriancortes7 — 2025-03-13 08:05:54 UTC

The graph presents a visual representation of the class data regarding household water consumption. It shows a pattern that suggests a relationship between the number of individuals in a home and their water usage. By analyzing this graph, we can better understand how the amount of water used changes depending on household size.

Section B (My Data)

adriancortes7 — 2025-03-13 08:06:36 UTC

Based on my own dataset, the Least Squares Regression Line indicates a weak correlation. The data implies that while household size might have some impact on water usage, other factors likely contribute to variations. The R-squared value, which helps determine how well the data fits the trend line, shows that there are additional elements influencing water consumption.

Section C

adriancortes7 — 2025-03-13 08:07:01 UTC

A key observation is that larger households tend to use more water on average. This could be interpreted as a direct relationship, but it’s also possible that other factors mediate this correlation. For instance, activities such as bathing, washing clothes, and using the sink frequently contribute to overall water usage. Therefore, it is important to consider whether this connection is due to a causal link or if other variables are playing a role.

Section C (Comparison 1)

adriancortes7 — 2025-03-13 08:07:39 UTC

The data suggests a strong correlation between the two analyzed variables, as indicated by an R² value of 0.611. This implies that household size and water consumption are related. However, after further consideration, it is evident that additional factors might be at play, influencing water usage beyond just the number of household members.

Section C (Comparison 2)

adriancortes7 — 2025-03-13 08:12:01 UTC

Similar to the first comparison, this analysis examines the relationship between two variables. The data reveals an R² value of 0.575, which suggests a moderate correlation. By comparing this to previous scatterplots, we can see a consistent trend in how these factors interact.

Section D

adriancortes7 — 2025-03-13 08:14:27 UTC

I believe that utilizing City Data can help in predicting water consumption for larger households. By working with different sources of data, we can develop a more comprehensive understanding of usage patterns. This method is particularly useful when analyzing water demand in major metropolitan areas like Sacramento or Los Angeles, as it provides valuable insights into regional consumption trends.