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On the data set predict y values to create a residual plot.

On the data set predict y values to create a residual plot.

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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On the data set predict y values to create a residual plot. 

Certainly! Here is the transcription for the educational website: --- **Data Table: Observed and Predicted Values** This table presents a set of observed (`x`, `y`) values alongside their corresponding predicted `y` values. This can be used to analyze the accuracy of a predictive model. | x | y | Predicted y | |----|----|-------------| | 5 | 9 | 6.68 | | 9 | 13 | 7.64 | | 8 | 2 | 7.40 | | 11 | 11 | 8.12 | | 12 | 1 | 8.36 | | 18 | 12 | 9.80 | **Explanation:** - **x, y Columns:** Represent the observed data points. - **Predicted y Column:** Shows the predicted values calculated from a specific model or algorithm for each corresponding `x` value. This table is useful for comparing observed values against predictions to assess the model's performance. Differences between `y` and `Predicted y` can highlight areas where the model performs well or requires improvement.
Transcribed Image Text:Certainly! Here is the transcription for the educational website: --- **Data Table: Observed and Predicted Values** This table presents a set of observed (`x`, `y`) values alongside their corresponding predicted `y` values. This can be used to analyze the accuracy of a predictive model. | x | y | Predicted y | |----|----|-------------| | 5 | 9 | 6.68 | | 9 | 13 | 7.64 | | 8 | 2 | 7.40 | | 11 | 11 | 8.12 | | 12 | 1 | 8.36 | | 18 | 12 | 9.80 | **Explanation:** - **x, y Columns:** Represent the observed data points. - **Predicted y Column:** Shows the predicted values calculated from a specific model or algorithm for each corresponding `x` value. This table is useful for comparing observed values against predictions to assess the model's performance. Differences between `y` and `Predicted y` can highlight areas where the model performs well or requires improvement.
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