Assumption testing is a critical step in statistical analysis that ensures the validity and reliability of the model by verifying that the data meets the necessary conditions for analysis. It involves checking for normality, homoscedasticity, independence, and other assumptions specific to the statistical method being used, as violations can lead to incorrect conclusions.