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Data Forecasting and Segmentation Using Microsoft Excel

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

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Product type Paperback
Published in May 2022
Publisher Packt
ISBN-13 9781803247731
Length 324 pages
Edition 1st Edition
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Author (1):
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Fernando Roque Fernando Roque
Author Profile Icon Fernando Roque
Fernando Roque
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Table of Contents (19) Chapters Close

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

Doing prediction scenarios with the regression model

As we saw earlier, the regression model is not an exact answer for our prediction's needs because it depends on the level of the relationship between the causal variables and the Y result/effect variable.

Taking this into account, a more realistic answer is to present three scenarios of the prediction model. The scenarios depend on the confidence level of the slope. We have the upper and lower scenarios, depending on the value assigned to the slope. These scenarios exhibit the different value range for miles-per-gallon performance, depending on the variation of horsepower from 0 to 150:

  • Linear model scenario: Miles-per-gallon performance goes from 34 to 14
  • Upper scenario: Performance of miles per gallon has a range between 30 and 17
  • Lower scenario: Performance of miles per gallon goes from 30 to 0

The formula for the confidence level of the slope is as follows:

From previous...

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