Course curriculum

    1. 1.1 Understanding Linear Regression

    2. 1.2 Linear Regression in Excel

    3. 1.3 The Essence of Linear Regression

    4. 1.4 The Mathematical Foundation

    5. 1.5 Why Linear Regression Matters

    6. 1.6 The Assumptions Behind Linear Regression

    7. 1.7 Real World Applications

    8. 1.8 The Role of Technology

    9. 1.9 Looking Ahead

    10. 1.10 Key Takeaways

    11. Test Your Knowledge Quiz 1

    1. 2.1 Understanding Key Terms

    2. 2.2 Core Variables in Linear Regression

    3. 2.3 Regression Line Components

    4. 2.4 Statistical Terms for Model Assessment

    5. 2.5 Distribution Terms

    6. 2.6 Significance Terms

    7. 2.7 Prediction Related Terms

    8. 2.8 Model Diagnostic Terms

    9. 2.9 Key Takeaways

    1. 2.1 Data Preparation and Cleaning

    2. 2.2 Implementing Linear Regression in Python

    3. Test Your Knowledge Quiz 2

    1. 3.1 Understanding Output Metrics

    2. 3.2 Visualising Linear Regression

    3. Test Your Knowledge Quiz 3

    1. 4.1 Case Studies in Business and Economics

    2. 4.2 Common Pitfalls and Solutions

    3. 4.3 Project: Linear Regression

    4. Test Your Knowledge Quiz 4

    1. Course Feedback Form

About this course

  • 31 lessons

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