Chelsea Parlett-Pelleriti

Chelsea Parlett-Pelleriti, a statistician and data scientist from Recast, returns to dive deep into the fascinating world of linear regression. She simplifies complex concepts like feature engineering, multicollinearity, and overfitting, making statistics accessible. The discussion explores how statistical models can improve marketing efforts and the distinction between predictive and inferential analysis. They also share lighthearted anecdotes about pet safety and social media experiences, blending humor with insightful analytics.

In this discussion, Chelsea Parlett-Pelleriti, a consulting statistician with a PhD in computational data science, breaks down the intricacies of ANOVA. She emphasizes its connection to linear models and clarifies common misconceptions. Topics like the importance of covariates in regression and the challenges of multiple comparisons are explored. With humor, she also touches on automating data integration, while sharing relatable parenting tales and the amusing limitations of AI. A truly enlightening and entertaining dive into statistics!