I thought I would return to COVID case mortality prediction by County Health Rankings statistics not included in the overall rankings but are still Illuminating. The image above shows the relationship between the percentage of the county that is food insecure and the case mortality rate from COVID. It shows a significant positive relationship accounting for 41.6% of the variability in the case mortality rate. The regression equation states that for every 1% increase in the percentage that is food insecure, there is a 0.148% increase in the mortality rate.
There was a stronger relationship between the county motor vehicle mortality rate and the COVID case mortality rate. This relationship was significantly positive accounting for 56.8% of the variability in case mortality. According to the regression model, for every unit increase in the motor vehicle rate there is a 0.0963% increase in the case mortality rate.
There was a similar negative correlation with the motor vehicle mortality rate and the COVID vaccination rates. This relationship accounted for 63.8% of the variability in the vaccination rate. For every unit increase in the motor vehicle mortality rate, there is a predicted 1.67% decrease in the COVID vaccination rate.
The food insecurity rate is obviously related to poverty and the case mortality rate is inversely related to the COVID vaccination rate. The motor vehicle mortality rate is correlated with the percentage in physical and mental distress which has been previously discussed. All of these factors must be considered when estimating COVID case mortality prediction.