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2021-02-25 06:02:16
30-Day Money-Back Guarantee
Business Business Analytics & Intelligence Minitab

Multiple Regression with Minitab

Perform & Analyze the Results of Multiple Regression using Minitab 19 - Six Sigma Master Black Belt (SSMBB) Level
Highest Rated
Rating: 4.7 out of 54.7 (24 ratings)
195 students
Created by Sandeep Kumar ­
Last updated 9/2020
English
English
30-Day Money-Back Guarantee

What you'll learn

  • Mastering Muliple Regression - Including Linear and Polynominal Regression
  • Perform and interpret the results of Regression Analysis using Minitab
  • A practical view of the Regression modeling

Requirements

  • Some basic understanding of statistical concepts
  • You can download 30 days trial version of Minitab for practice from their website

Description

In this course, I will teach you one of the most commonly used analytical techniques: Regression Analysis.

This course covers the top of multiple regression analysis at the Six Sigma Master Black Belt level.

I will use Minitab 19 to perform the analysis. The focus of my teaching will be on explaining the concepts and on analyzing and interpreting the results of the analysis.

The course starts from the basics, covering the scatter plot and learning the simple regression with just one predictor. The analysis is conducted in Minitab 19, and the results of the output are explained in detail. To understand the concept, a simple example of hours of studies and marks obtained in the exam is taken. As you move through the course the example becomes more complex. In the end, we analyzed and modelled the insurance cost based on various factors.

This course also covers hypothesis testing, understanding the p-value to interpret the result.

Later, additional predictors are added to the regression model. The performance of the model is understood by interpreting the value of R-squared and adjusted R-squared.

The following concepts are covered in this course:

  • Simple Linear Regression

  • Multiple Regression

  • Nonlinear Regression (Polynomial)

  • Bias Variance Trade-off

  • Selecting features using Best Subsets and Stepwise selection approaches

  • Identifying Outliers

  • Training and Test Data - Validation set approach, Leave one out cross-validation and K-Fold Validation.

  • Predicting Response

  • Project Work - Medical Insurance Charges





Who this course is for:

  • Six Sigma professionals who want to take their understanding of Regression Analysis to the next level
  • Anyone who wants to get a more in-depth insight into interpreting the Regression results

Course content

8 sections • 46 lectures • 4h 47m total length

  • Preview06:57
  • Understanding Scatter Plot
    07:38
  • [Minitab] Plotting Scatter and Matrix Plots
    03:44
  • Correlation Coefficient
    03:47
  • Preview06:03
  • The R Value
    04:58
  • The R-Squared Value (Coefficient of Determination)
    04:43
  • Hypothesis Testing - Introduction
    09:51
  • Type I and Type II Errors
    06:36
  • The p-Value
    06:28
  • Regression Line
    10:12
  • Residuals
    04:16
  • The p-Value and VIF
    04:31
  • The S-Value, Confidence and Prediction Intervals
    04:39
  • R-Squared
    06:08
  • Quiz: Simple Linear Regression
    8 questions

  • Multiple Regression Introduction
    03:53
  • [Minitab] Multiple Regression Demonstration - Part 1
    06:11
  • Analyzing Multiple Regression Results - Part 1
    08:45
  • Analyzing Multiple Regression Results - Part 2
    11:50
  • [Minitab] Multiple Regression Demonstration Part 2
    08:55
  • Analyzing Multiple Regression Results - Part 3
    05:16
  • Quiz: Multiple Regression
    2 questions

  • Underfitting vs Overfitting
    05:25
  • Bias Variance Trade-off
    04:08
  • Polynomial Model
    04:46
  • [Minitab] Demonstration of Polynomial Models
    04:50
  • [Minitab] Comparing Models
    04:40
  • Comparing Three Models - Linear, Quadratic and Cubic
    06:08
  • Stepwise Selection and Conclusion
    03:56
  • Quiz: Nonlinear Regression
    2 questions

  • Model Reduction - Introduction
    03:48
  • Cement Heat Evolved Dataset
    09:48
  • Features Selection Rules
    03:55
  • [Minitab] Best Subsets Regression Demonstration
    06:42
  • Features Selection - Stepwise
    04:29
  • [Minitab] Features Selection - Stepwise
    07:33
  • Quiz: Feature Selection
    1 question

  • Outliers in the Model
    06:26
  • Unusual X Values
    07:14
  • [Minitab] Outliers and it's Masurements - Hi(Leverage), Cooks Distance and DFITS
    04:31
  • Quiz Outliers
    1 question

  • Training and Testing Model - Introduction
    07:57
  • Train Test Splitting
    05:04
  • K-Fold and Leave One Out Cross Validation
    04:36
  • [Minitab] Training and Testing Demonstration
    07:30
  • Quiz: Testing the Model
    1 question

  • Estimating the response based on predictors
    07:23

  • Preview03:10
  • Exploring the Dataset
    07:29
  • Regression Model - The First Attempt
    12:08
  • The Final Regression Model and the Course Conclusion
    08:46
  • Quiz: Project Work
    1 question

Instructor

Sandeep Kumar ­
Experienced Quality Manager • Six Sigma Coach • Consultant
Sandeep Kumar ­
  • 4.5 Instructor Rating
  • 30,161 Reviews
  • 146,972 Students
  • 25 Courses

PMI-PMP, IRCA Registered Lead Auditor, ASQ - CSSBB, CQA, CQE, CMQ/OE, IIA - CIA  

Sandeep Kumar has more than 35 years of Quality Management experience. He has worked as Quality Manager/Director on a number of projects, including Power, Oil and Gas and Infrastructure projects.

In addition, he provides consulting services to implement Lean Six Sigma to improve performance. 

His areas of specialization include Quality Assurance, ISO 9001:2015, Lean, Six Sigma, Risk Management, QMS Audits, Supplier Quality Surveillance, Supplier Pre-qualification, Construction Quality, Mechanical Inspection and Quality Training.

Professional Qualifications:

His professional qualification/certifications include: 

• ASQ-CSSBB, Certified Six Sigma Black Belt
• ASQ-CMQ/OE Certified Manager of Quality/Organizational Excellence
• PMI-PMP Certified Project Management Professional

• IRCA Registered Lead Auditor (QMS-2015)

• IIA-CIA Certified Internal Auditor
• ASQ-CSSGB, Certified Six Sigma Green Belt

• ASQ-CQA Certified Quality Auditor

• ASQ-CQE Certified Quality Engineer



   

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