Artificial Intelligence (AI) and Machine Learning (ML) have dramatically evolved in today’s technical world. Many automation processes need models. An AI model is a function or behavior that analyzes datasets to find a pattern that can make predictions. AI modeling replicates human intelligence and is most effective when it receives multiple data sets. Models learn the behavior of a process and predict the behavior of a new data set’s behavior. Linear regression models describe the relationship among data sets and variables by fitting a line to the collected data sets. A linear relationship is considered a relationship among observable data sets and is validated by these data sets to establish a relationship.