What is a characteristic of predictive data analysis?
- establishes a future trend line based on past data
- uses simple math models
- uses a feedback system to track outcome of actions taken
- based solely on historical data
| Answers Explanation & Hints:
A characteristic of predictive data analysis is that it establishes a future trend line based on past data. Predictive data analysis uses historical data and statistical models to make predictions about future trends and events. This involves analyzing patterns and relationships in the data to establish a future trend line, which can then be used to make predictions about future outcomes. Predictive data analysis is typically more complex than simple math models, as it involves using advanced statistical techniques and machine learning algorithms to analyze the data. These techniques can include linear regression, time-series analysis, decision trees, and neural networks, among others. While predictive data analysis is based on historical data, it is not solely based on historical data. It can also incorporate current data and real-time data streams to make more accurate predictions. Additionally, predictive data analysis can be used in a feedback system to track the outcome of actions taken, allowing for adjustments to be made and improving the accuracy of the predictions over time. |