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Master the Y-intercept of a regression line in this beginner-friendly statistics tutorial! 📊 We break down the formula a = ȳ - b·x̄ step-by-step, explaining what the predicted value of Y is when X equals zero. Whether you're a student learning statistics, a data enthusiast, or just curious about predictive models, this video is for you. We'll start with the basics of a regression line, define the components of the regression equation, and then dive deep into calculating and interpreting the y-intercept ('a'). Using a simple, clear example, we'll show you how to find the mean of your x and y values (x̄ and ȳ) and use them to solve for the intercept. 🧠 We also cover crucial considerations, like when the y-intercept is meaningful and the dangers of extrapolation. By the end, you'll have a solid understanding of this core concept in statistics and probability. 📈 #Statistics #Regression #DataScience #Math #Education #Learning Chapters: 00:00 - Y-Intercept of a Regression Line 00:17 - What is a Regression Line? 00:36 - The Simple Linear Regression Equation 00:58 - Focus on the Y-Intercept (a) 01:16 - How to Calculate the Y-Intercept 01:36 - Calculation: A Simple Example 01:56 - Step 1: Calculate the Mean of X and Y 02:15 - Step 2: Calculate the Y-Intercept (a) 02:36 - Result & Interpretation 02:55 - A Word of Caution 03:19 - Key Takeaways 03:39 - Outro 🔗 Stay Connected: ▶️ YouTube: / @thecodelucky 📱 Instagram: / thecodelucky 📘 Facebook: / codeluckyfb 🌐 Website: https://codelucky.com ⭐ Support us by Liking, Subscribing, and Sharing! 💬 Drop your questions in the comments below 🔔 Hit the notification bell to never miss an update #CodeLucky