This course is prepared to understand two important concepts in statistics as well as Six Sigma i.e. Correlation and Regression.

This course has 05 sections.

Section-1: This consists of-

• Correlation

• Correlation Analysis

• Calculating Correlation Coefficient

• Practical use of Correlation and Regression with a practical example

• Regression

• Significance F and p-values

• Coefficients

• Residual and

• Conclusion

Section-2: This consists of-

• Regression Analysis

• Practical use of each Regression Analysis with Example

• Use of Minitab to conduct Regression Analysis

• Interpretation of Results

Section-3:This consists of-

• Types and Illustration of each type with a practical example

• Nonlinear Regression Analysis

  1) What are Regression analyses and their types?

  2) Brief explanation of all types of Regression Analysis methods

  3) When to use Nonlinear Regression Analysis?

  4) Data considerations for Nonlinear Regression

  5) Nonlinear Regression Analysis with Practical Example in Microsoft Excel

  6) Interpretation of results from Regression analysis including R-Square, Significance F and p-values, Coefficients, Residuals and Best Fit Model for Nonlinear Regression

  
  

• Logistic Regression Analysis

  
  

• Binary Logistic Regression

  1) What is Binary Logistic Regression Analysis?

  2) Data considerations for Binary Logistic Regression

  3) Detailed Illustration of Binary Logistic Regression Analysis with Practical Example

  4) Detailed Procedure for Analysis in Minitab

  5) Interpretation of Results in Session Window

  6) Interpretation of Results in Graph Window

Section-4:This consists of-

• Best subset regression with the help of a practical example

1. What is the Best Subsets Regression?

2. Best Subsets Regression with Practical Example in Minitab

3. Detailed interpretation of results from Best Subsets Regression

• Multiple Regression with the help of a practical example

1. How to perform Multiple Regression Analysis in Minitab?

2. Practical Example of Multiple Regression

3. Detailed interpretation of results in the session window, and

4. Detailed interpretation of results in the graph window.

Section-5:This consists of-

• Quiz to understand and demonstrate understanding of concepts learned in this course.

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