Simple Linear Regression as Line Plus Noise
\(\beta_{0}\):
\(\beta_{1}\):
\(\sigma_{\epsilon}\):
\(\bar{X}\):
\(s_{X}\):
\(n\):
\(x_{0}\):
Sample new residuals
Sample new predictor values
Show error density?