2. For the data in the table below, find the sum of the absolute deviations for the predicted values given by the median-median line, y= 3.6x-0.4. 13 2 7 39 4 14 5 15 6 21 7 25 AV

MATLAB: An Introduction with Applications
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ISBN:9781119256830
Author:Amos Gilat
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Find the sum of the absolute deviations for the predicted values given by the median-median line y=3.6x-0.4
**Question 2:**

For the data in the table below, find the sum of the absolute deviations for the predicted values given by the median-median line, \( y = 3.6x - 0.4 \).

| x | y  |
|---|----|
| 1 | 3  |
| 2 | 7  |
| 3 | 9  |
| 4 | 14 |
| 5 | 15 |
| 6 | 21 |
| 7 | 25 |

**Choices:**
- A) 5.7145
- B) 4.8
- C) 4
- D) 0.0005

In this exercise, students are asked to calculate the sum of the absolute deviations between the actual y-values and the predicted y-values from the equation of the median-median line.

**Graph/Diagram Explanation:**

This table displays two columns of data labeled \( x \) and \( y \). The goal is to apply the regression equation \( y = 3.6x - 0.4 \) to predict y-values and determine the deviations from actual y-values listed. After finding the predicted values, calculate the absolute deviations by determining the absolute differences between each pair of actual and predicted values, then sum these differences. This will help in assessing how well the median-median line fits the given data points.
Transcribed Image Text:**Question 2:** For the data in the table below, find the sum of the absolute deviations for the predicted values given by the median-median line, \( y = 3.6x - 0.4 \). | x | y | |---|----| | 1 | 3 | | 2 | 7 | | 3 | 9 | | 4 | 14 | | 5 | 15 | | 6 | 21 | | 7 | 25 | **Choices:** - A) 5.7145 - B) 4.8 - C) 4 - D) 0.0005 In this exercise, students are asked to calculate the sum of the absolute deviations between the actual y-values and the predicted y-values from the equation of the median-median line. **Graph/Diagram Explanation:** This table displays two columns of data labeled \( x \) and \( y \). The goal is to apply the regression equation \( y = 3.6x - 0.4 \) to predict y-values and determine the deviations from actual y-values listed. After finding the predicted values, calculate the absolute deviations by determining the absolute differences between each pair of actual and predicted values, then sum these differences. This will help in assessing how well the median-median line fits the given data points.
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