8 ANOVA Single Factor | Regression Analysis Excel | Intercept, Slope, Data Analysis Toolpak Tutorial

Welcome to Episode 8

Download Practice Files Here 🔗 https://drive.google.com/drive/folders/1Dn...

Welcome to Episode 8 of Excel Basics & Analysis (EBA Series)!
In this session, you will learn two powerful statistical tools used in analytics, research, finance, HR, operations, academic projects and business decisions — ANOVA Single Factor & Regression Analysis in Microsoft Excel.

This is a complete beginner-friendly yet practical tutorial where I teach you how to run ANOVA using Data Analysis ToolPak, how to check significance using p-value, and how to build Regression equations using Intercept & Slope.
By the end of this video you will be able to compare groups, test variability, interpret results and create prediction models easily in Excel.

In this video, we cover one of the most important statistical tools used in data analytics and research — ANOVA Single Factor and Regression Analysis in Excel.
You will learn step-by-step how to perform ANOVA, calculate Slope & Intercept, build a Regression Model, and analyze outputs using the Excel Data Analysis Toolpak.
Perfect for students, researchers, business analysts and Excel learners who want to make data-driven decisions confidently.

🔥 What You Will Learn

📍 What is ANOVA Single Factor and when to use it
📍 Understanding Null & Alternative Hypothesis in ANOVA
📍 How to interpret P-Value, F-Value & F-Critical
📍 Decision rule explained:
✔ If P LESS THAN 0.05 → Significant Difference → Reject H0
✔ If P MORE THAN 0.05 → Not Significant → Fail to Reject H0
📍 How to run ANOVA using Data Analysis Toolpak

📍 What is Regression Analysis in Excel
📍 Creating Regression model using Slope & Intercept
📍 Equation format → Y = Intercept + Slope(X)
📍 Using functions: =SLOPE() , =INTERCEPT()
📍 Full Regression using Data Analysis → Regression
📍 Understanding R², Significance F, Standard Error & Coefficients

🧠 Use Cases You Can Apply After This Video

✔ Compare multiple groups or samples using ANOVA
✔ Predict outcomes using Regression Models
✔ Understand relationships between variables (X & Y)
✔ Use Excel statistics for research, business & projects

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