Unit 4: Analysis of Bivariate Data 

Week 10: (09 October 2023 to 15 October 2023)

Lecture 1. Concept and Types of Correlation

Here, we will learn the concept of bivariate data, concept of correlation and types of correlation. 

Lecture 2. Scatter Diagram

Here, we will understand the scatter diagram and its interpretation.  

Lecture 3. Karl Pearson's Correlation Coefficient: Definition and Properties

Here, we will learn the definition and properties of Karl Pearson's Correlation Coefficient. 

Lecture 4. Karl Pearson's Correlation Coefficient: Illustrative Examples

Here, we will understand the interpretation of r and some numerical examples are illustrated to obtain Karl Pearson's Correlation Coefficient. 

Week 11: (16 October 2023 to 22 October 2023)

Lecture 1. Spearman's Rank Correlation Coefficient - I

Here, we will learn the definition of Spearman's Rank Correlation Coefficient and numerical example to compute it for without tie case.

Lecture 2. Spearman's Rank Correlation Coefficient - II

Here, we will illustrate the example to compute Spearman's Rank Correlation Coefficient with tie case.

Week 12: (23 October 2023 to 29 October 2023)

Lecture 1. Regression - I

Here, we will learn the concept of regression and lines of regression.

Lecture 2. Regression - II

Here, we will illustrate the concept of regression equations and regression coefficients.

Week 13: (30 October 2023 to 05 November 2023)

Lecture 1. Regression - III

Here, we will illustrate the examples on regression.

Lecture 2. Regression - IV

Here, we will illustrate the examples on regression.