- 00:12
Introduction of regression formula question by a participant.
- 01:30
Explanation of setting up a categorical and continuous variable for the model.
- 02:53
Dr. Wedding starts building the first model to predict if a person crashes their car.
- 10:08
Discussion on SAS on-demand results and output retention.
- 20:05
Proc logistic command initiated to build the regression model.
- 22:48
Output of the logistic regression model is displayed.
- 32:12
Introducing a safety valve for large numbers in the scoring model.
- 33:58
Finalizing the deployment model and testing it.
- 48:14
Introduction of the second model to predict damage costs after a crash.
- 58:36
End of session results showing predicted insurance charges.
PRED 411 HW02 INSURANCE 2016 04 28
Summary
The video is a lengthy coding session where Dr. Donald K. Wedding develops a logistic regression model for predicting car crash probabilities and costs based on provided data. It features a mix of coding demonstrations, explanations, and interactions with attendees, but it is largely verbose and lacking in engaging content.
