Bivariate and Multivariate Analysis Exam Questions and Answers
Bivariate and Multivariate Analysis Exam Q&A
Unit 1: Important Exam Questions with Answers
Q1. Correlation Analysis: Types and Properties
Answer:
Meaning of Correlation: Correlation is a statistical technique used to measure the degree and direction of the relationship between two variables. It shows whether variables move together or in opposite directions.
The coefficient of correlation is denoted by: r
Its value lies between: -1 and +1
Types of Correlation
- 1. Positive Correlation: When two variables
Unsupervised Learning: Transformations and Clustering Methods
Unsupervised Learning Transformations and Clustering
1. Purpose of Unsupervised Transformations
Unsupervised transformations create a new representation of the data that is easier to interpret or use than the original raw data.
2. Application of Dimensionality Reduction
Dimensionality reduction simplifies high-dimensional data while preserving the most important information.
3. Role of Clustering Algorithms
Clustering algorithms group data into clusters based on similarity, revealing hidden structure
Read MoreData Mining Fundamentals and KDD Process
1. Data Mining Definition and Applications
Data Mining is the process of automatically discovering meaningful patterns, trends, and relationships from large datasets using statistical, machine learning, and database techniques.
Applications:
- Market Basket Analysis
- Fraud Detection
(Other examples: customer segmentation, medical diagnosis, recommendation systems)
2. Knowledge Discovery in Databases (KDD)
KDD is the overall process of extracting useful knowledge from data. It involves several steps such as
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