There is so much that students can do with data, but we really want to think about how they can use data to make decisions about their prototype in this engineering experience. Now, we are going to look at how analysis and interpretation can be used to help students determine the best solution based on the criteria and constraints that were identified in the experience.
Examine this graph of temperature anomalies around a baseline temperature (average temperature from 1880-1899). A positive anomaly indicates the observed temperature was warmer than the baseline, and a negative anomaly indicates the observed temperature was cooler than the baseline.
What HLPA do you notice in this graph?
What trends do you see in the data?
Is the graph linear or nonlinear?