matlab vehicle tire data analysis code in matlab

To analyze vehicle tire data in MATLAB, you can follow these steps:

1. Import the data: You can use the readtable function to import the tire data from a CSV or Excel file.

main.m
data = readtable('tire_data.csv');
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2. Explore the data: You can use the summary function to get the summary statistics of the data, and plot function to visualize the data.

main.m
summary(data);

plot(data.Speed, data.TirePressure, 'o');
xlabel('Speed');
ylabel('Tire Pressure');
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3. Fit a model: You can use the fitlm function to fit a linear regression model to the data.

main.m
model = fitlm(data, 'TirePressure ~ Speed');
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4. Evaluate the model: You can use the anova function to get the analysis of variance (ANOVA) table for the model, and the predict function to predict the tire pressure for a given speed.

main.m
anova(model);

new_data = table(50, NaN, 'VariableNames', {'Speed', 'TirePressure'});
predicted_pressure = predict(model, new_data);
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This is just an example of analyzing tire data in MATLAB, and you can modify the code based on your specific requirements.