Homeless data per state – this data source offers insights into sheltered, unsheltered, and chronically homeless families, individuals, and unaccompanied youth.
My hypothesis is that if you have a lot of homeless people in your state, you also have bad survey scores, and that correlation is easy enough to see with a scatter plot.
Data.gov offers insights into other measure values that could hold statistical relevance, visit the website for more details.
The table below demonstrates Pearson Correlation value and a p-value, to determine its statistical relevance. The smaller the p-value, the more significant our data becomes.
We are using Pearson Correlation to compare the HCAHPS hospital survey data against different ways to categorize the count of homeless people per state. Sheltered Homeless Individuals and Sheltered Unaccompanied Youth are the most statistically relevant.