You're reading from Data Forecasting and Segmentation Using Microsoft Excel Perform data grouping, linear predictions, and time series machine learning statistics without using code

Product type Paperback

Published in May 2022

Publisher Packt

ISBN-13 9781803247731

Length 324 pages

Edition 1st Edition

Languages

C++

Tools

Excel

Concepts

Data Analysis

Author (1):

Fernando Roque

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Table of Contents (19) Chapters

Preface

1. Part 1 – An Introduction to Machine Learning Functions

2. Chapter 1: Understanding Data Segmentation FREE CHAPTER

3. Chapter 2: Applying Linear Regression

4. Chapter 3: What is Time Series?

5. Part 2 – Grouping Data to Find Segments and Outliers

6. Chapter 4: Introduction to Data Grouping

7. Chapter 5: Finding the Optimal Number of Single Variable Groups

8. Chapter 6: Finding the Optimal Number of Multi-Variable Groups

9. Chapter 7: Analyzing Outliers for Data Anomalies

10. Part 3 – Simple and Multiple Linear Regression Analysis

11. Chapter 8: Finding the Relationship between Variables

12. Chapter 9: Building, Training, and Validating a Linear Model

13. Chapter 10: Building, Training, and Validating a Multiple Regression Model

14. Part 4 – Predicting Values with Time Series

15. Chapter 11: Testing Data for Time Series Compliance

16. Chapter 12: Working with Time Series Using the Centered Moving Average and a Trending Component

17. Chapter 13: Training, Validating, and Running the Model

18. Other Books You May Enjoy

Testing the forecast model

We will see the forecast fit using the car sales from 2016 to 2017. This data is known from the dataset, so we will be able to check whether the model works well or not.

Follow these steps to test the model:

Copy and paste from the previous data the seasonal trend for each quarter from 2016 to 2017.
Calculate the trend for 2016 to 2017 using the regression line.
Test the forecast by multiplying the seasonal trend by the regression.

Use the known data of sales for the years 2016 and 2017 to test the forecast model, as mentioned in step 3 of the previous list. The automobile sales are in the highlighted QuarterTot column in Figure 13.7. We use this data to see whether the model is useful to predict this information.

The season trend per quarterly period for the years 2016 and 2017 is the same past data we have seen before. Calculate the regression trend for the 2016–2017 quarters. This data is highlighted in Figure 13...

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You're reading from Data Forecasting and Segmentation Using Microsoft Excel Perform data grouping, linear predictions, and time series machine learning statistics without using code

Table of Contents (19) Chapters

Testing the forecast model

Authors (1)

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You're reading from Data Forecasting and Segmentation Using Microsoft Excel Perform data grouping, linear predictions, and time series machine learning statistics without using code

Table of Contents (19) Chapters

Testing the forecast model

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