linearity
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how to know that the graphical plot is linear till what extend? and i need to program for the same with the matlab command
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Walter Roberson
il 12 Giu 2012
All plots are linear to within some error measure. You need to be clearer about your goals.
Risposte (1)
Divyam
il 30 Ott 2024 alle 5:15
Considering that you are plotting data and trying to determine linearity based on how well the data fits a linear model. Calculating the value for the data and a linear model can help you determine the extent of its linearity.
% Using sample data for x and y
x = linspace(0, 10, 100); % Independent variable
y = 2 * x + 3 + randn(size(x)); % Linear relationship with some noise
% Fit a linear model
p = polyfit(x, y, 1);
y_fit = polyval(p, x);
% Calculate R^2
SS_res = sum((y - y_fit).^2); % Residual sum of squares
SS_tot = sum((y - mean(y)).^2); % Total sum of squares
R_squared = 1 - (SS_res / SS_tot);
% Display R^2 value
fprintf('The coefficient of determination (R^2) is: %.2f\n', R_squared);
% Determine extent of linearity
threshold = 0.95;
if R_squared >= threshold
fprintf('The plot is linear to a high degree (R^2 >= %.2f).\n', threshold);
else
fprintf('The plot is not linear to a high degree (R^2 < %.2f).\n', threshold);
end
Note: an value close to 1 determines a strong linear relationship.
For more information regarding the value, you can refer to the theoretical section of this documentation: https://www.mathworks.com/help/stats/coefficient-of-determination-r-squared.html
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