Why is regression analytics used in the inferential and machine learning analyses of big data?
- It is used to find groups of observations that are similar to each other.
- It is used to find to find co-occurrences of values for different variables.
- It is used to quantify the relationship, if any, between the variations of one or more variables.
- It is used to find the mean average at various data points.
Explanation: A number of types of inferential and machine learning analysis are very commonly used in Big Data analytics:
- Cluster – Used to find groups of observations that are similar to each other.
- Association – Used to find co-occurrences of values for different variables.
- Regression - Used to quantify the relationship, if any, between the variations of one or more variables.
Related exam: Module 5.6.2 Quiz - Analyze the Data Using Statistics
