Regression Analysis Fundamentals

Course details

Explore the basic elements of regression analysis, a critical skill in today's data-driven business environment. Learn about ordinary least squares and how to minimize errors when building data models. Discover the various regression types, including linear, multiple logistic, and more, and then choose the method that best fits your data. Gain hands-on experience with tools such as Excel, SPSS, Stata, and R, so you can run regressions efficiently and interpret the results with confidence. Translate complex statistical output into actionable insights for stakeholders, and differentiate between correlation and causation in data. Create compelling visuals, to ensure non-technical audiences can grasp your insights from your regression models. Develop narratives that connect your data findings to strategic business decisions. This course is ideal for professionals eager to enhance their data analysis skills and make informed, measurable decisions in their organizations.

Concepts

Introduction

Identify what regression helps you see

Laying the Groundwork

Understand the basics of OLS regression
Know the different regression types

Run Your First Regression

Choose the best regression tool
Run a simple regression in Excel
Use SPSS to analyze data with regression
Run a linear model in R using code

Interpret and Visualize Your Results

Understand what regression output means
Check model assumptions
Evaluate correlation vs. causation
Checking goodness-of-fit and R
Handling outliers and influential points

Share Your Findings with Confidence

Create clear charts
Translate your results into insights
Tell the story behind your data model
Visual storytelling with regression

Conclusion

Apply your regression skills in projects