## Student Model

### Poverty and Race in the 2016 Election

**Introduction:**

The 2016 election was a narrow Republican Victory in the 2016 presidential Election. This has been attributed to the amount of poverty in each state, and the Non-Hispanic White population in the state. Using Census Data for 11 different states, I did a report on a state’s percent voting Republican in the 2016 presidential election, and their Poverty Rate and Non-Hispanic White Population. I believe that there will be a stronger correlation between Poverty Rate and voting Republican than Non-Hispanic White Population and voting Republican. The data was collected from the Census Data from 2014. .http://www.census.gov/prod/2001pubs/mso01-wp.pdf (US Census), "Income, Poverty and Health Insurance Coverage in the U.S.: 2014" (Department of Health and Human Services), and "Official 2016 Presidential General Election Results" (Election Commission). The data is shown in the Google Sheets attached.

**Data Analysis:**

The Non-Hispanic Scatterplot shows a not very strong, linear, and positive correlation since the R= .442. This shows how there is a positive relation. There doesn't appear to be outliers in this data set. Since there is no pattern in the residual plot, then it means the linear is appropriate for this model. The least squares regression line is Predicted Republican Vote=.335^x+26.7. The slope means that about .335% of the vote is added to Republicans per percent of Non-Hispanic White people in a state. The Y-intercept is not necessary to the data since no state will have a 0% Non-Hispanic White population. S=7.806 this means that the average prediction error using the least squares regression line is about 7.497% votes for the Republicans in the 2016 Presidential Race. The R2=.195 this means that 19.5% of the data variation in the data for percent voting republican can be accounted for by the Non-Hispanic White population.

**Conclusion:**

## Rubric

Poverty and Race in the 2016 Election by Thoughtful Learning is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

Based on a work at k12.thoughtfullearning.com/assessmentmodels/poverty-and-race-2016-election.