Perform & Analyze the Results of Multiple Regression using Minitab 19 - Six Sigma Master Black Belt (SSMBB) Level

Enroll now to get PMI® PDUs, and SHRM® PDCs at no extra cost—all included in the course price!

Welcome to "Multiple Regression with Minitab," a comprehensive course designed to equip you with the skills and knowledge necessary to perform multiple regression analysis using Minitab. This course covers everything from the basics of regression analysis to advanced techniques and model validation. Whether you're new to regression analysis or looking to enhance your skills, this course offers a thorough understanding and practical application of multiple regression using Minitab.

What is Regression Analysis?

Regression analysis is a statistical method used to examine the relationship between a dependent variable and one or more independent variables. By modeling these relationships, regression analysis helps in predicting outcomes, understanding underlying patterns, and making data-driven decisions. Multiple regression, in particular, involves using multiple predictors to enhance the accuracy and robustness of the model.

What Will You Learn?

This course offers a comprehensive curriculum designed to cover all aspects of multiple regression using Minitab. Here’s what you will learn:

  • Basic Regression Concepts: Understand the fundamentals of scatter plots and simple regression.
  • Multiple Regression Techniques: Learn to add and analyze multiple predictors in regression models.
  • Advanced Regression Techniques: Explore nonlinear regression, feature selection, and the bias-variance trade-off.
  • Model Validation: Master techniques to validate regression models and ensure their robustness.
  • Predicting Responses: Use regression models to predict outcomes and apply concepts to real-world projects.

Topics Covered

Section 1: Introduction to Regression Analysis

  • Scatter Plot and Simple Regression: Start with the basics of scatter plots and simple regression with one predictor. Analyze and interpret results using Minitab 19, with a simple example of hours of study and exam marks.

Section 2: Multiple Regression

  • Adding Predictors: Learn to add multiple predictors to the regression model. Understand and interpret the performance of the model using R-squared and adjusted R-squared values.
  • Hypothesis Testing and p-value: Conduct hypothesis testing to determine the significance of predictors. Understand and interpret p-values in the context of regression analysis.

Section 3: Advanced Regression Techniques

  • Nonlinear Regression (Polynomial): Explore nonlinear regression techniques, including polynomial regression, to model complex relationships.
  • Bias-Variance Trade-off: Understand the bias-variance trade-off in model selection and performance.
  • Feature Selection: Learn feature selection techniques such as Best Subsets and Stepwise selection to improve model accuracy and performance.

Section 4: Model Validation

  • Identifying Outliers: Identify and handle outliers in your data to ensure robust regression models.
  • Training and Test Data: Learn about training and test data sets, and apply validation techniques such as the validation set approach, leave-one-out cross-validation, and K-Fold validation to assess model performance.

Section 5: Predicting Response and Project Work

  • Predicting Response: Use the regression model to predict responses for new data. Learn to apply the concepts learned to real-world datasets.
  • Project Work - Medical Insurance Charges: Apply the concepts learned to a real-world project, modeling insurance costs based on various factors. This project will consolidate your understanding of multiple regression techniques and their practical applications.

Who is This Course for?

This course is designed for a diverse audience, including:

  • Data Analysts and Business Analysts: Professionals who need to analyze data and make data-driven decisions.
  • Quality Management Professionals: Individuals responsible for ensuring quality through statistical analysis.
  • Students and Aspiring Data Scientists: Those pursuing a career in data science or looking to enhance their regression analysis skills.
  • Project Managers: Professionals managing projects who need to understand and apply regression analysis.
  • Anyone Interested in Data Analysis: Individuals who want to gain a comprehensive understanding of multiple regression using Minitab.

Why This Course?

  • Expert Instruction: Learn from an experienced instructor with extensive knowledge in statistical analysis and Minitab.
  • Comprehensive Coverage: The course covers a wide range of topics, from basic to advanced regression techniques.
  • Practical Application: Gain hands-on experience with Minitab 19, applying regression analysis to real-world datasets.
  • Flexible Learning: Access video lectures, practical examples, and quizzes at your own pace, fitting your learning into your busy schedule.
  • Accreditation and Certification: Earn PMI PDUs and SHRM PDCs at no additional cost

Obtain PMI PDUs and SHRM PDCs

As part of your professional development, this course offers you the opportunity to earn Professional Development Units (PDUs) from the Project Management Institute (PMI) and Professional Development Credits (PDCs) from the Society for Human Resource Management (SHRM). Quality Gurus Inc. is proud to be an authorized training partner of PMI (#6034) and a SHRM Recertification Provider.


  • Earn PDUs: This course is approved by PMI and allows you to earn PDUs, which are essential for maintaining your PMI certifications such as PMP, CAPM, and others.
  • Updated PMI Talent Triangle: The PDUs you earn from this course align with the updated PMI Talent Triangle, which now focuses on:
    • Ways of Working: Emphasizes the technical aspects of managing projects, including methodologies, tools, and techniques.
    • Power Skills: Includes communication, leadership, negotiation, and emotional intelligence.
    • Business Acumen: Covers the understanding and application of business knowledge, including strategy, innovation, and market dynamics.
  • How to Claim: Upon completion of the course, you will receive a certificate of completion. You can then claim your PDUs by logging into the PMI website and submitting the course details along with your certificate.


  • Earn PDCs: This course is approved by SHRM for Professional Development Credits, which are vital for maintaining your SHRM-CP or SHRM-SCP certifications.
  • Categories of PDCs: The PDCs you earn will cover various aspects of human resource management, enhancing your skills and knowledge in this domain.
  • How to Claim: After completing the course, you will receive a certificate of completion. You can then submit this certificate through the SHRM certification portal to claim your PDCs.

Call to Action

Are you ready to take your regression analysis skills to the next level? Enroll in our comprehensive "Multiple Regression with Minitab" course today and gain the knowledge and practical tools you need to perform effective multiple regression analysis. With expert instruction, a comprehensive curriculum, and practical applications, this course is designed to help you succeed. Plus, you’ll earn valuable PMI PDUs and SHRM PDCs at no additional cost.

Enroll Now and start your journey towards mastering multiple regression using Minitab. Equip yourself with the skills to analyze data effectively, make informed decisions, and deliver greater value to your organization. Don’t miss out on this opportunity to enhance your professional credentials and advance your career.

Enroll in the Multiple Regression with Minitab Course

Join thousands of professionals who have enhanced their careers through Quality Gurus' comprehensive training programs. Your journey to becoming an expert in multiple regression analysis starts here.

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