04 Jun Multiple Regression with Minitab Multiple Regression with Minitab Tuesday, June 4, 2024 (12:00 AM) to Sunday, May 31, 2026 (11:59 PM) 5 PDCs Provider: Quality Gurus Inc Course Name: Multiple Regression with Minitab Speaker: Sandeep Kumar Program Type: Videoconferences, webcasts, audiocasts, podcasts, eBooks, self-directed E-Learning Registration URL: https://www.qualitygurus.com/link/regression/ Email Details By the end of this course, participants will be able to: Understand Basic Regression Concepts: Explain the fundamentals of regression analysis, including the purpose and application of regression in data analysis. Create and interpret scatter plots to visualize relationships between variables. Conduct Simple Linear Regression: Perform simple linear regression with one predictor variable using Minitab 19. Analyze and interpret the results of simple regression models, including the slope, intercept, and goodness-of-fit metrics. Implement Multiple Regression Analysis: Add multiple predictors to a regression model to conduct multiple regression analysis. Understand and evaluate the performance of multiple regression models using R-squared and adjusted R-squared values. Perform Hypothesis Testing: Conduct hypothesis tests for regression coefficients to determine their significance. Interpret p-values to assess the significance of predictors in regression models. Explore Nonlinear Regression Techniques: Understand and apply nonlinear regression methods, including polynomial regression, to model complex relationships. Analyze the bias-variance trade-off in regression models to optimize model performance. Select Features for Regression Models: Use feature selection techniques such as Best Subsets and Stepwise selection to identify the most significant predictors. Evaluate the impact of selected features on the overall model performance. Identify and Handle Outliers: Detect outliers in the data and understand their impact on regression models. Apply techniques to handle outliers and ensure robust model performance. Validate Regression Models: Split data into training and test sets to validate regression models. Apply validation techniques such as the validation set approach, leave-one-out cross-validation, and K-Fold validation to assess model reliability. Predict Responses Using Regression Models: Use regression models to predict responses for new data. Interpret and communicate the results of regression predictions effectively. Apply Regression Analysis to Real-World Projects: Conduct a comprehensive regression analysis project, such as modeling medical insurance charges based on various factors. Integrate all learned techniques to solve complex, real-world data analysis problems. Participants will leave the course with a thorough understanding of regression analysis, equipped with practical skills to use Minitab for conducting both simple and advanced regression analyses. They will be able to interpret results, validate models, and apply their knowledge to real-world data analysis scenarios effectively. Details You're Registered! DescriptionLocation Welcome to "Multiple Regression with Minitab," a comprehensive course designed to teach you one of the most widely used analytical techniques: Regression Analysis. This course is tailored to cover multiple regression analysis at the Six Sigma Master Black Belt level, using Minitab 19 for performing and interpreting the analysis. What You'll Learn: Fundamentals of Regression Analysis: Understand the basics of regression, starting with simple linear regression and advancing to multiple regression. Data Analysis with Minitab 19: Learn to use Minitab 19 to conduct regression analysis, interpret results, and make informed decisions. Hypothesis Testing: Gain knowledge of hypothesis testing and the p-value to understand and interpret regression results. Model Evaluation: Learn to evaluate the performance of regression models using R-squared and adjusted R-squared values. Advanced Regression Techniques: Explore nonlinear regression, bias-variance trade-off, feature selection, and various validation techniques. Course Structure: This course includes video lectures, practical exercises, and detailed explanations of regression analysis concepts using real-world examples. Detailed 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. Project Work - Medical Insurance Charges: Apply the concepts learned to a real-world project, modeling insurance costs based on various factors. Who This Course Is For: Data Analysts Quality Engineers Six Sigma Professionals Business Analysts Anyone interested in learning regression analysis using Minitab Enroll Now: Join us in this in-depth exploration of regression analysis with Minitab. Gain the skills to perform sophisticated data analysis, interpret complex results, and apply your knowledge to real-world scenarios. Enroll now and take the first step towards mastering multiple regression with Minitab!