Multiple regression analysis is a statistical method for predicting the future by explaining (equating) the ups and downs of the resulting data using multiple elemental data.
By utilizing multiple regression analysis, you can see how various marketing initiatives, external factors, prices, etc. correlate with results such as branded searches, conversions, and sales volume, which can be used to evaluate whether they are good or bad.
This document provides easy-to-understand explanations of analytical concepts and methods for those who want to perform multiple regression analysis in Excel.
I recommend this hotel
- Those who want to identify the most important factors that affect business outcomes
- Those who want to evaluate the effectiveness of all marketing measures, both on and off.
- Those who want to evaluate their marketing strategies taking into account the influence of external factors (day of the week, weather, etc.)
- Those who want to know how to perform multiple regression analysis using Excel
Material content
- Overview of Multiple Regression Analysis
- Excel Setup
- Performing multiple regression analysis in Excel
- Terminology (adjusted R2, significance F, P-value, coefficient, etc.)
- How to read and interpret analysis results in Excel
- When multiple regression analysis using Excel can be used appropriately
- Differences between multiple regression analysis and XICA's MMM method
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