GRAPHICAL TRENDS
Average Age-Adjusted Death rates across the United States has gone down, however the decrease has been slower in southeastern regions of the United States.
MACHINE LEARNING APPROACH
To create a model of average age-adjusted death rate (R) across America, raw data collected across disease types were used to create a linear regression algorithm. Every year from 1999 to 2016 was included the dataset. In coding the algorithm, five variables were accounted for: intercept of age-adjusted death rate, the coefficient relating the change in age-adjusted death rate each year, the mean absolute error, mean squared error, and the mean squared standard deviation.
All Causes
R'(y) = -8.17933945(y) + 17216.46989199
Mean Absolute Error: 71.20270928106612
Mean Squared Error: 7891.171136684514
Mean Squared Deviation: 88.83226405245176