lec 2: Scatter diagram & Karl’s Pearson coefficient| Correlation

#Nommathex # Scatterdiagram #correlationcoefficient
video title: Scatter diagram & Karl’s Pearson coefficient| Correlation
In this video, we'll determine two important tools scatter diagram and Karl's coefficient for understanding the relationship between continuous variables: Scatter Diagrams and Karl Pearson's Coefficient.
First, we'll learn how to create and interpret Scatter Diagrams, a graphic representation of the relationship between two variables. We'll discuss how to identify patterns, outliers, and correlations from the diagram.
Next, we'll hangout into Karl Pearson's Coefficient, a statistical measure that quantifies the strength and direction of the linear relationship between two variables. We'll learn how to calculate and interpret the coefficient, and understand what the values represent.
By the end of this video, you'll be able to:
- Create and interpret Scatter Diagrams
- Calculate and interpret Karl Pearson's Coefficient
- Understand the strength and direction of correlations between continuous variables
Course: Probability & Statistics
Topic: scatter diagram and correlation coefficient
Text: Probability and Statistics for Engineers and Scientists, by Walpole chapter: 11
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