The document describes the design of prediction models to analyze the effects of tort reforms on malpractice claims in Texas. Key points:
1) Regression models were developed using variables like year, population, number of physicians/lawyers, GDP, and CPI to predict the frequency and severity of malpractice claims.
2) Q-Q plots showed the variables were normally distributed, allowing use of statistical tests like t-tests and chi-square tests.
3) The best regression models for predicting frequency and severity had adjusted R-squared values of 0.503 and 0.423, respectively, and all coefficients were statistically significant.
4) The models will be used to simulate claim losses and develop a