Correlation and Regression Analysis ||class-3|| MBS 1st semester||Statistical method||

Описание: Correlation and Regression Analysis class-3
Correlation and Regression Analysis|| class-2|| Statistical Method|| MBS
Ultimate Masterclass: Correlation & Regression (2 & 3 Variables) | MBS 1st Semester 🚀
​Stop being afraid of Statistics! Whether you are a beginner starting with Simple Correlation or an advanced student tackling Tri-Variable Multiple Regression, this video is designed to take you from zero to hero.
Masterclass: Correlation and Regression (2 and 3 Variables) | MBS 1st Semester
​Are you struggling with Business Statistics? In this video, we break down the most important topics of MBS 1st Semester: Correlation and Regression Analysis for both 2 and 3 Variables.
​From the basic relationship between two factors to the complex calculations of three-variable models, this tutorial covers everything you need to score full marks in your exam!
​📊 What is covered in this video?
​1. Two-Variable Analysis (The Foundation)
​Simple Correlation: Understanding how two variables move together.
​Regression Lines: Predicting values using Y on X and X on Y equations.
​2. Three-Variable Analysis (Tri-Variable Advanced)
​Partial Correlation: How to find the relationship between two variables while keeping the third one constant.
​Multiple Correlation: Measuring the combined effect of two independent variables on a dependent one.
​Multiple Regression Equation: Step-by-step construction of the equation:
X1 = a + b12.3X2 + b13.2X3
​3. Error and Reliability Tests
​Standard Error (S.E.): Measuring the accuracy of our estimates.
​Probable Error (P.E.): Using the 6-times rule to check if your correlation is statistically significant.
​🎯 Why this video is a Must-Watch:
​Exam Focused: Specifically designed for TU, KU, and PU MBS students.
​15-Mark Questions: We solve long-form problems step-by-step.
​Simple Language: Complex math explained in a way anyone can understand.
​Formula Hacks: Easy tips to remember long statistical formulas.
​📌 Quick Navigation:
​0:00 - Intro to Correlation and Regression
04:15 - 2-Variable Simple Analysis
12:30 - Partial Correlation (3 Variables)
22:45 - Multiple Correlation (3 Variables)
35:10 - Multiple Regression Equations
45:20 - Calculating Standard Error and Probable Error
55:00 - Exam Tips and Summary
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