Target Audience: Individuals with basic mathematical skills, introduction to statistics, computer literacy, data handling skills, and analytical thinking
Prerequisites: Basic Mathematical Skills, Introduction to Statistics, Computer Literacy, Data Handling Skills
Curriculum Highlights
Key Topics Covered:
Correlation and its types
Calculation of the Correlation Coefficient (r)
Scatter plots and their interpretation
Simple Linear Regression
Residuals and the Least Squares Method
Distinguishing between correlation and causation
Key Skills Learned:
Understanding of correlation and regression concepts
Ability to calculate the Correlation Coefficient (r)
Skill in creating and interpreting scatter plots
Knowledge of Simple Linear Regression modeling
Understanding of the difference between correlation and causation