This project aims to see if there is a significant relationship between the number of sheep and lamb, and pastureland cash rent per acre in the state of Wyoming in 2023. The choropleth dot map indicates that there may be a relationship present between the two variables within counties in the northeast portion of the state, but not in the rest of the state as counties in the southwest have an expensive cash rent per acre and not many sheep and lamb. Additionally, based in the map the majority of the counties do not have a great number of sheep and lamb in general regardless of whether the county has an expensive cash rent per acre or not. When analyzing the OLS regression the standard residual is displays the difference between the observed value and the predicted value based on the statical model, and counties in central Wyoming display a greater positive difference between the observed and expected values of the two variables. There counties in the north and south part of the state which also greater positive difference between the observed and expected value as well, but eastern half of state reveals the opposite for the most part.

The linear regression calculator supports what is being displayed by the choropleth map as the R square which is explains how much the variability of the dependent variable (pastureland cash rent per acre) can be explained by the independent variable (sheep and lamb). According to this metric the number of sheep and lamb only .02 percent of the pasture cash rent per acre can be explained by the number of sheep and lamb, and this aligns with is displayed on the choropleth map.