Predictive Analytics | Multiple Linear Regression, Assumptions & Evaluation Metrics | MBA MM 301

Welcome to the MBA Series!

In this educational video, we cover **MM 301: Marketing Research and Analytics – Module II: Predictive Analytics** for 2nd-semester MBA students, following the **MAKAUT University syllabus**.

This episode explains the fundamental concepts of predictive analytics and how organisations use historical data, statistical models and forecasting techniques to predict future outcomes. It also discusses Multiple Linear Regression, its assumptions, mathematical model and the evaluation metrics used to measure regression model performance.

The discussion is presented in a simple Bengali-English mix to help students understand the concepts easily and prepare effectively for examinations.

This video is part of our **MBA Podcast Series**, designed to simplify complex management topics in an engaging and easy-to-understand manner.

**Perfect for:**

MBA students
MAKAUT University learners
Marketing Research and Analytics students
Marketing Management students
Business Analytics students
Management and Business Studies students
Competitive examination aspirants
Anyone interested in understanding Predictive Analytics and Regression Analysis

**Topics Covered:**

• Meaning and concept of Predictive Analytics
• Importance of Predictive Analytics
• Applications of Predictive Analytics in marketing
• Meaning of Forecasting
• Forecasting using Multiple Linear Regression
• Dependent and Independent Variables
• Mathematical Model of Multiple Linear Regression
• Regression Coefficients
• Assumptions of Multiple Linear Regression
• Linearity Assumption
• Independence of Errors
• Homoscedasticity
• Normality of Residuals
• Absence of Multicollinearity
• Evaluation Metrics for Regression Models
• Mean Absolute Error
• Mean Squared Error
• Root Mean Squared Error
• R-squared
• Adjusted R-squared
• Interpretation of Regression Results
• Applications of Regression in managerial decision-making

Watch the complete video to understand how organisations use Multiple Linear Regression to forecast future outcomes, analyse the relationship between variables, evaluate regression model performance and support effective marketing and managerial decision-making.

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Видео Predictive Analytics | Multiple Linear Regression, Assumptions & Evaluation Metrics | MBA MM 301 канала AIMTECH Academy