How to fit line of best fit to scatterplot in R2012a
1 vue (au cours des 30 derniers jours)
Afficher commentaires plus anciens
Hello,
Suppose I have 2 variables
curiosity = [4.916666667
3.916666667
3.666666667
5.083333333
4.666666667
3.75];
prediction = [19.58680175
-8.006943896
-2.934021031
32.79861546
78.37847569
41.84028306];
scatter(curiosity,prediction)
and I want to fit a standard regression line to it (without changing between polynomials - I'm only interested in the linear trend and not the cubic, quadratic or quartic one), how should I proceed? I've tried out solutions provided in a couple of answers to previous MATLAB questions but been unsuccessful so far.
Thank you very much in advance.
0 commentaires
Réponses (1)
Star Strider
le 18 Nov 2016
Two possible ways:
Regression_Coefficients = polyfit(curiosity,prediction,1);
or:
Regression_Coefficients = [curiosity, ones(size(curiosity))]\prediction;
Regression_Coefficients =
21.8212e+000 -67.6145e+000
Regression_Coefficients =
21.8212e+000
-67.6145e+000
2 commentaires
Star Strider
le 19 Nov 2016
My pleasure.
To plot the line for each (they both give the same result), the full code becomes:
curiosity = [4.916666667
3.916666667
3.666666667
5.083333333
4.666666667
3.75];
prediction = [19.58680175
-8.006943896
-2.934021031
32.79861546
78.37847569
41.84028306];
Regression_Coefficients_P = polyfit(curiosity,prediction,1)
Regression_Coefficients_M = [curiosity, ones(size(curiosity))]\prediction
x_plot = [min(curiosity); max(curiosity)]; % Only Need Two Points To Plot The Linear Fit
y_plot_P = polyval(Regression_Coefficients_P, x_plot) % Use ‘polyval’
y_plot_M = [x_plot [1; 1]] * Regression_Coefficients_M % Use Matrix Algebra
figure(1)
scatter(curiosity, prediction)
hold on
plot(x_plot, y_plot_P)
hold off
grid
figure(2)
scatter(curiosity, prediction)
hold on
plot(x_plot, y_plot_M)
hold off
grid
Voir également
Catégories
En savoir plus sur Discrete Data Plots dans Help Center et File Exchange
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!