Regression Analysis: Making Predictions Using Data
Actua's AI Series - Activity 3
In this activity, participants will analyze data to determine the relationship between two variables for the purpose of making predictions. Participants will make estimates by visually analysing data. Then, they will use a technique called regression to create a model that can make predictions from the data. Finally, participants will reflect on the process of creating and evaluating prediction models and discuss how machine learning could be used to create similar models.
If you’re accessing this activity directly, did you know there are eight other activities in this series up on our website? These activities also follow a space exploration narrative when done in order. It is recommended to complete the activities in order but they can also be done on their own.
If you find yourself unfamiliar with any of the AI concepts and terminology introduced in these activities, please refer to our AI Glossary. For more information about Artificial Intelligence and how to incorporate it into your classroom, we suggest exploring our AI Handbook.
Here we go:
You and your group mates are astronauts and scientists aboard the Actua Orbital Station. Unfortunately, your station just got bombarded by magnetic rays and your electronics have begun to shut down! The only one who can save you is the station’s AI, DANN. DANN stands for Dedicated Actua Neural Network, and it’s gone a little loopy. Brush up on your technical skills, learn about AI, and save yourself and your crewmates!
The space objects classifier is working again, thanks to your efforts in “Decision Trees: Classifying Space Objects”. Now, DANN is currently busy running a diagnostic to determine what needs to be fixed, and we can’t help until it finishes. Meanwhile, you’ve discovered some data from one of the old experiments aboard the Station. The experiment was studying the effect of microgravity on astronauts. So, Mission Control has encouraged you to take a look at this experiment’s data and see if you can do a preliminary analysis. Once that’s done, Dann will be finished its diagnostic, and we can start fixing it in “Sort Things Out: Exploring Image Classification”!