Now that you have the regression results, you can discuss with the students the key pieces of information being displayed, including the coefficients (the intercept representing the fixed costs, and ...

9.1 Linear Regression 9.1.1 Review of the basics The lm function in R constructs—as its name implies—a linear model from data. Recall that a linear model is of the form Y = β0+β1X1+...+βnXn Y = β 0 + ...

Root cause analysis: The size, direction (positive or negative), and statistical significance of each slope provides us with a better understanding of the factors that might cause variation in the ...