The assignment involves analyzing a dataset of cocaine prices using regression models to examine the impact of quantity, quality, and time on prices. Hypothesis testing is performed to determine if quality has a significant effect on prices and if estimating the model based on quantity alone makes it significantly different from the original model. Normality tests are also conducted to ensure that residuals are normally distributed.