Publisher review:MyRegression - A simple function on LS linear regression with many informative outputs After the Dimistri's comment I deeply reviewed this file. Now this file use the Regress function (but the results with Polyfit were the same). Anyway I wrote this function exclusively for the common use of a one exstimator linear regression; a common laboratory use where a simple regression is required.
Now this function checks the presence of outliers (as the Robustfit).
This function computes a least-square linear regression suppling several output informations:- Presence of outliers- Slope with standard error an 95% C.I.- Intercept with standard error an 95% C.I.- Pearson's Correlation coefficient with 95% C.I. and its adjusted form (depending on the elements of X and Y arrays)- Spearman's Correlation coefficient- Regression Standard Error- Total Variability- Variability due to regression- Residual Variability- Student's t-Test on Slope (to check if slope=0)- Student's t-Test on Intercept (to check if intercept=0)- Power of the regression- a plot with:
- Data points
- Least square line
- Red dotted lines: 95% Confidence interval of regression
- Green dotted lines: 95% Confidence interval of new y evaluation using this regression.
The function requires the Statistics Toolbox because calls TINV and TCDF to perform the Student's t-test. Requirements: · MATLAB Release: R2006b · Statistics Toolbox
MyRegression is a Matlab script for Statistics and Probability scripts design by Giuseppe Cardillo.
It runs on following operating system: Windows / Linux / Mac OS / BSD / Solaris.
Operating system:Windows / Linux / Mac OS / BSD / Solaris
MyRegression script details 
