Learning Statistics: Concepts and Applications in R Season 1 Episode 14 Regression Predictions, Confidence Intervals

Join host and statistician Dr. Tanya Rosenbaum in season 1 episode 14 of Learning Statistics: Concepts and Applications in R as she dives into the world of regression predictions and confidence intervals. In this episode, Dr. Rosenbaum will explore how to make predictions using regression models and how to evaluate the accuracy of those predictions using confidence intervals.

To start, Dr. Rosenbaum will review the basics of regression analysis, including the difference between simple and multiple regression. She will then demonstrate how to build a regression model using R software and how to use that model to make predictions. She will explain the importance of testing the assumptions of the model and how to measure the goodness of fit.

Next, Dr. Rosenbaum will introduce the concept of confidence intervals and how they are used to estimate the range of values that a predicted outcome could fall within. She will explain how confidence intervals are calculated and what factors contribute to their width.

Throughout the episode, Dr. Rosenbaum will use real-life examples to illustrate the concepts and show how they can be applied in different contexts. For example, she will discuss how regression models can be used in business to predict sales, in medicine to predict patient outcomes, and in social science to predict educational attainment.

As always, Dr. Rosenbaum will provide step-by-step instructions on how to perform these analyses using R, making the material accessible to viewers of all levels. She will also share tips and tricks for troubleshooting common issues that may arise and how to interpret the output of the regression analysis.

By the end of the episode, viewers will have a solid understanding of regression predictions and confidence intervals, and how they can be used to make informed decisions in a variety of fields. They will also have the skills and confidence to perform these analyses on their own using R. Don't miss this informative and practical episode of Learning Statistics: Concepts and Applications in R.