This lecture covers a model building example using analysis of means, focusing on the effects of applied load and previous cuts on the removal rate of osteotomy drills. It explains how to find the effects of factors, interactions, and build a predictive model. The lecture also discusses experimental results, dealing with noise-induced errors, replication, and pooling of interactions. It demonstrates the use of replicates and ANOVA to eliminate factors, calculating interaction terms, and building the overall equation for adhesion strength. The content includes examples, formulas, and practical applications in experimental design.