Chapter 6 The Linear Model | Data Analysis in R

Understanding what a statistical model is and what statistical estimation is—and knowing the difference—is a critical first step toward analyzing your data. Now that model and estimation are differentiated, we will think about how they work in concert. Before we start in on the actual modeling, let’s get some terms down. Terms used in linear modeling are not standardized, but for the most part they are consistent. Below are some definitions and discussion about terms that will appear in this text, or terms that may be helpful to be aware of. units – observations or data points, often indexed with i 𝑖 x 𝑥 variable – predictors or independent variables in the model that are included on the right side of the model equation y 𝑦 variable – outcome, response, or dependent variable in the model that is typically the lone term on the left side of the model equation inputs – also called model terms, these are the items on the right side of the model equation; note that while inputs and pr

Understanding what a statistical model is and what statistical estimation is—and knowing the difference—is a critical first step toward analyzing your data. Now that model and estimation are differentiated, we will think about how they work in concert. Before we start in on the actual modeling, let’s get some terms down. Terms used in linear modeling are not standardized, but for the most part they are consistent. Below are some definitions and discussion about terms that will appear in this text, or terms that may be helpful to be aware of. units – observations or data points, often indexed w