Please help with calculating the % error. Thank you

MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
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Please help with calculating the % error. Thank you. 

### Results from Curve Fit: Part V - y vs. x Graph

|     Results from curve fit     |         |  % Error |
|:------------------------------:|:-------:|:--------:|
| \( y_0 \) [m] | \( g \) [m/s²] |
|         9.99                  |   0.0436  |

In this table:

- \( y_0 \) [m]: Represents the initial position (in meters).
- \( g \) [m/s²]: Represents the acceleration due to gravity (in meters per second squared).

Note: The % Error column is present in the table but does not contain any values.
Transcribed Image Text:### Results from Curve Fit: Part V - y vs. x Graph | Results from curve fit | | % Error | |:------------------------------:|:-------:|:--------:| | \( y_0 \) [m] | \( g \) [m/s²] | | 9.99 | 0.0436 | In this table: - \( y_0 \) [m]: Represents the initial position (in meters). - \( g \) [m/s²]: Represents the acceleration due to gravity (in meters per second squared). Note: The % Error column is present in the table but does not contain any values.
## Part V: y vs. x – Projectile Motion Analysis

### Data Recorded in HP Lab

The table on the left represents the recorded data from a projectile motion experiment conducted in the HP Lab. The recorded variables are time (t) in seconds, horizontal distance (x) in meters, and vertical distance (y) in meters.

| t (s) | x (m)  | y (m)  |
|-------|--------|--------|
| 0.00  | 0.00   | 10.00  |
| 0.10  | 1.40   | 9.90   |
| 0.20  | 3.00   | 9.80   |
| 0.30  | 4.60   | 9.62   |
| 0.40  | 6.10   | 9.26   |
| 0.50  | 7.60   | 8.82   |
| 0.60  | 9.10   | 8.23   |
| 0.70  | 10.60  | 7.43   |
| 0.80  | 12.10  | 6.39   |
| 0.90  | 13.50  | 6.03   |
| 1.00  | 15.00  | 5.10   |
| 1.10  | 16.50  | 4.06   |
| 1.20  | 18.00  | 2.94   |
| 1.30  | 19.50  | 1.71   |
| 1.40  | 21.00  | 0.39   |
| 1.43  | 21.42  | 0.00   |

### Graph Analysis

The graph on the right shows the vertical distance (y) plotted against the horizontal distance (x), representing the trajectory of the projectile. 

#### Key Features of the Graph:
1. **Curve Fit**: The trajectory follows a parabolic path, typical of projectile motion, and has been fit with a quadratic equation of the form:
   \[
   y = Ax^2 + Bx + C
   \]
   - \( A = -0.02180 \pm 2
Transcribed Image Text:## Part V: y vs. x – Projectile Motion Analysis ### Data Recorded in HP Lab The table on the left represents the recorded data from a projectile motion experiment conducted in the HP Lab. The recorded variables are time (t) in seconds, horizontal distance (x) in meters, and vertical distance (y) in meters. | t (s) | x (m) | y (m) | |-------|--------|--------| | 0.00 | 0.00 | 10.00 | | 0.10 | 1.40 | 9.90 | | 0.20 | 3.00 | 9.80 | | 0.30 | 4.60 | 9.62 | | 0.40 | 6.10 | 9.26 | | 0.50 | 7.60 | 8.82 | | 0.60 | 9.10 | 8.23 | | 0.70 | 10.60 | 7.43 | | 0.80 | 12.10 | 6.39 | | 0.90 | 13.50 | 6.03 | | 1.00 | 15.00 | 5.10 | | 1.10 | 16.50 | 4.06 | | 1.20 | 18.00 | 2.94 | | 1.30 | 19.50 | 1.71 | | 1.40 | 21.00 | 0.39 | | 1.43 | 21.42 | 0.00 | ### Graph Analysis The graph on the right shows the vertical distance (y) plotted against the horizontal distance (x), representing the trajectory of the projectile. #### Key Features of the Graph: 1. **Curve Fit**: The trajectory follows a parabolic path, typical of projectile motion, and has been fit with a quadratic equation of the form: \[ y = Ax^2 + Bx + C \] - \( A = -0.02180 \pm 2
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