Data.mat is generated from MATLAB Mobile. This represents accelerometer data (in m/s^2) along the x, y and z axes. A mobile phone was lightly tossed upwards and I caught it just in time. The sample rate is 50 Hz. You can generate your own similar data if you wish.

Use only the z axis data for this analysis.

Create a MATLAB live script that will perform the following analysis tasks on the data:

(a) Plot the original data using a black solid line, and plot your fitted polynomial functions using a red dashed line. Your plot should contain a slider that allows the user to experiment with different polynomial degrees.

Use clear labels, legends and clear textual explanation for each graph.

(b) On a second plot, plot the same original data with black lines, and use green line(s) to show moving average smoothing. Your plot should contain a slider that allows the user to experiment with different window sizes.

(c) Determined the sum of squared errors and R² for each of the above curve fits. These calculations should be performed using functions and vectorisation (where possible). The results should be tabulated in a clear output table.

Do not drop your phone, please do these experiments on top of a soft surface (eg. A mattress) if you want to try.

Attachments:

data.mat