MULTIPLE REGRESSION with Excel – How to predict the output based on multiple numerical variables!

Multiple Regression with Excel - How to predict the output based on multiple numerical variables!

If you've ever wondered how to predict something based on multiple factors - like figuring out how selling price and advertising cost affect your umbrella sales—you're in the right place! Multiple regression is a statistical technique used to understand the relationship between one dependent variable and two or more independent variables. In simple terms, it helps us see how several factors together influence a single outcome. In this video, you will learn:
• What is multiple regression?
• How to install Analysis ToolPak in Excel?
• How to create a multiple regression model, interpret it’s results, and make predictions with it?
Sounds interesting? Learn how to use it in this video!

Other related resources to this video:
~ How to use Simple Linear Regression for Prediction with Excel!
~ Multiple Regression with Excel - How to predict the output based on multiple numerical variables!
~ Multiple Regression in Excel Predict Results with Numerical & Non Numerical Data with TWO (2) Values!
~ Multiple Regression in Excel - Predict Results with Numerical & Non-Numerical (Categorical) Data with THREE (3) Values!
~ How to create a CORRELATION MATRIX for STOCKS with EXCEL!
~ How to run DESCRIPTIVE STATISTICS with EXCEL!
~ How to run Sentiment Analysis with Microsoft Excel!
~ How to create a Word Cloud with Microsoft Word!
~ How to find the CORRELATION for DRINK SALES with EXCEL!
~ Getting started with Minitab
~ Descriptive Statistics with Minitab
~ Correlogram with Minitab

By Cedric Ng,
AUTHOR of International Best Sellers,
~ “Predictive HR Analytics, Text Mining & ONA with Excel” &
~ “IISS: Employee Experience & Engagement with Predictive Analytics”