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Fundamentals of Correlation and Regression
New
21 students
What you'll learn
- Understand the fundamentals of correlation and regression and explain how statistical relationships are identified and interpreted in real-world data.
- Create and interpret scatter plots, correlation coefficients, regression equations, and regression models using Microsoft Excel.
- Evaluate the strength, direction, and statistical significance of relationships between variables using tools such as p-values, hypothesis tests, and R-squared.
- Build and interpret simple and multiple linear regression models for prediction, forecasting, and process analysis applications.
- Identify common regression issues such as outliers, extrapolation, residual patterns, and misleading correlations.
- Apply correlation and regression tools to practical engineering, manufacturing, quality, business, and operational decision-making problems.
- Use Microsoft Excel functions and tools such as CORREL, LINEST, trendlines, and the Data Analysis ToolPak to perform statistical analysis.
- Develop a foundation for more advanced analytical topics such as ANOVA, predictive analytics, machine learning, and logistic regression.
Explore related topics
Course content
1 section • 35 lectures • 1h 38m total length
Requirements
- A basic understanding of introductory statistics is helpful, but advanced statistical knowledge is not required.
- Students should be comfortable using Microsoft Excel at a basic level, including entering data, creating charts, and using simple formulas.
- No prior experience with correlation, regression, data analytics, or statistical modeling is required.
- A copy of Microsoft Excel is recommended so students can follow along with the hands-on examples and downloadable templates.
- Students should be willing to work through practical examples and apply statistical thinking to real-world problems and decision making.
Description
Learn how to identify relationships in data, build predictive models, and make better decisions using practical statistical tools and Microsoft Excel.
Correlation and regression are among the most important analytical tools used in engineering, manufacturing, quality, operations, business analytics, supply chain management, finance, and data-driven decision making. This course is designed to make these concepts practical, approachable, and immediately useful.
In this Fundamentals of Correlation and Regression, you will learn how to:
Interpret correlation and regression results
Build and analyze regression models
Evaluate statistical significance using p-values and hypothesis tests
Understand R-squared, residuals, outliers, and prediction error
Create simple and multiple regression models
Use Microsoft Excel to perform real-world statistical analysis
Apply regression tools to forecasting, prediction, process analysis, and operational improvement
The course combines:
Voice-over PowerPoint instruction
Step-by-step Microsoft Excel demonstrations
Practical examples from engineering, manufacturing, quality, and business applications
Downloadable Excel templates and example files
This course is designed for professionals and students who want practical analytical skills without unnecessary theory and mathematical complexity.
Included in This Course:
Downloadable Excel templates and example files
Glossary of statistical and regression terminology
Lifetime access to all course materials
Future course updates
Practical, career-focused instruction
Who This Course Is For:
Manufacturing and quality professionals
Engineers and technicians
Continuous improvement professionals
Supply chain and operations professionals
Data and business analysts
Students seeking practical statistical analysis skills
Anyone wanting a stronger foundation in correlation, regression, and predictive analytics
No prior experience with regression analysis is required. A basic familiarity with Microsoft Excel and introductory statistics is helpful, but advanced mathematics is not necessary.
If you want to better understand data, identify meaningful relationships, and make more informed decisions using Microsoft Excel, this course was built for you. Enroll in Fundamentals of Correlation and Regression today!
Who this course is for:
- Quality Engineers, Manufacturing Engineers, Process Engineers, Reliability Engineers, Industrial Engineers
- Continuous Improvement Professionals, Lean Six Sigma Green Belts, Lean Six Sigma Black Belts, Operational Excellence Managers, Quality Managers
- Production Supervisors, Manufacturing Managers, Operations Managers, Plant Managers, Engineering Managers
- Supply Chain Analysts, Business Analysts, Data Analysts, Operations Analysts, Financial Analysts
- Test Engineers, Validation Engineers, Product Engineers, Design Engineers, Mechanical Engineers
- Calibration Technicians, Quality Technicians, Laboratory Technicians, Metrology Technicians, Engineering Technicians
- Procurement Professionals, Supplier Quality Engineers, Supplier Development Engineers, Inventory Analysts, Logistics Analysts
- MBA Students, Engineering Students, Operations Professionals, Project Managers, Technical Managers