I have studied linear regression modeling and its application to data fitting in last class. This entails understanding how to work with non-normally distributed, skewed variables with high variation and kurtosis. Furthermore, I’ve dabbled with data analysis with a dataset that includes two measurements: “post-molt,” which indicates the size of a crab’s shell after molting, and “pre-molt,” which reflects the size of a crab’s shell before molting. In reality, I’ve successfully performed linear regression on this dataset, drawing the regression line and evaluating descriptive statistics to gain a better understanding of the data’s relationships. I have also learnt about the significance of the t-test and its use in statistical analysis.