In this lecture, we move from estimation of absolute performance from simulation studies to estimation of relative performance. We start with connecting confidence intervals with linear regression, as an alternative application of one-sample confidence intervals. We review the use of one-sample confidence intervals for relative performance estimation, and then we pivot to discussing the visualization of 2-sample tests with confidence intervals.