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```{r setup, include=FALSE}
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R Markdown

For this homework I will refer to the 2022_EAVS_for-Public_Release Dataset. My hypothesis: Counties with a higher # of registered voters will have a higher percentage of rejected mail-in ballots due to missing or wrong information.

This hypothesis can be tested by analysing the number of registered voters in a county asthe independent variable (x) and the percentage of rejected mail-in ballots as the dependent variable (y).

The Null Hypothesis is there is no significant relationship between the # of registered voters in a county and the percentage of rejected mail-in ballot due to missing or incorrect information.

The Alternative Hypothesis is the counties with a higher # of registered voters will have a lower percentage of rejected mail-in ballots.

There are several factors that could support this hypothesis. For example, counties with more registered voters typically have larger populations which could increase the human error when completing mail-in ballots. This would result in a higher percentage of ballots getting rejected due to mistakes such as missing or incorrect information. However, the alternative hypothesis is also plausible. Larger counties are mostly urbran areas which have better access to voter education and a larger election infrastructure. These factors could lead to fewer errors and a lower percentage of rejected mail-in ballots.