This project explores the potential relationship between pasture dollar per acre and number of farms in Montana in 2022 with the choropleth map and ordinary least square (OLS) regression. When analyzing the choropleth map there does not look to be a significant relationship between the two variables across the state. There are some counties in the center and western portion of the state in which the relationship seems to be significant having both many farms and a high dollar per acre. The OLS regression reflects the same pattern revealed in choropleth being the majority the counties in the state did not show a significant relationship between the two variables outside of a few counties in the center and western parts of the state.

A linear regression test was run to further explore the relationship between the variables with the number of farms as the independent variable and the pasture dollar per acre being the dependent variable. According to this test the number of farms could only explain 13.1 percent of the variability in the pasture dollar per acre in Montana in 2022, and this is based on the R squared which measure the effect if the independent variable on the dependent variable using number between 0 and 1. These results further indicate that there is no significant relationship between the two variables.