5. Characterize the overall accuracy of the linear model by computing the sum of the square errors. 6. Use the linear model to predict the wind energy consumption for 2014 and 2015.
5. Characterize the overall accuracy of the linear model by computing the sum of the square errors. 6. Use the linear model to predict the wind energy consumption for 2014 and 2015.
Advanced Engineering Mathematics
10th Edition
ISBN:9780470458365
Author:Erwin Kreyszig
Publisher:Erwin Kreyszig
Chapter2: Second-order Linear Odes
Section: Chapter Questions
Problem 1RQ
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Question

Transcribed Image Text:**Wind Energy Consumption**
The table below illustrates the wind energy consumption in quadrillions of BTUs in the United States from 2009 through 2013.
| Year | Consumption | \( x_i \) | \( y_i \) | Linear Model | Square Error |
|------|-------------|-----------|-----------|--------------|--------------|
| 2009 | 0.72 | | | | |
| 2010 | 0.92 | | | | |
| 2011 | 1.17 | | | | |
| 2012 | 1.34 | | | | |
| 2013 | 1.60 | | | | |
**Explanation:**
- The table provides data on wind energy consumption measured in quadrillions of BTUs for each year from 2009 to 2013.
- The columns for \( x_i \), \( y_i \), Linear Model, and Square Error are meant for calculations related to data modeling and analysis, which are not yet filled in.

Transcribed Image Text:**5. Characterize the overall accuracy of the linear model by computing the sum of the square errors.**
**6. Use the linear model to predict the wind energy consumption for 2014 and 2015.**
(Note: There are no graphs or diagrams in the image.)
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