Linear regression is a basic and commonly used type of predictive analysis and the simple linear regression model is first model introduced to students in Statistics and sets the foundation for more complicated models. Confidence Intervals (CI) of the linear regression models are computed from the statistics of the observed data and might contain the true value of unknown population parameters. Having a clear understanding of the Confidence Interval should be a requirement for Statistics students since they have close relationships with other statistics topics, such as significance testing, and are crucial to evaluate the reliability of the estimates. This project visualizates confidence bands (surfaces in 3D) for the estimated response variable, and uses bootstrap resampling techniques to illustrate the confidence level. The deliverables can be used as tools to facilitate understanding of CI and linear regression system as a whole.