Multiple Linear Regression using fitlm function
3 views (last 30 days)
Show older comments
Hello Sir, why i am not getting the intercept for the other variables?
>> lm=fitlm(X,TAG)
Warning: Regression design matrix is rank deficient to within machine precision.
> In classreg.regr.CompactTermsRegression/checkDesignRank (line 35)
In LinearModel.fit (line 1237)
In fitlm (line 121)
lm =
Linear regression model:
y ~ 1 + x1 + x2 + x3 + x4 + x5 + x6 + x7
Estimated Coefficients:
Estimate SE tStat pValue
__________ __ _____ ______
(Intercept) 0 0 NaN NaN
x1 0 0 NaN NaN
x2 0.00037516 0 Inf NaN
x3 0.00021467 0 Inf NaN
x4 -0.16078 0 -Inf NaN
x5 0.68268 0 Inf NaN
x6 -0.0013354 0 -Inf NaN
x7 0 0 NaN NaN
Number of observations: 5, Error degrees of freedom: 0
R-squared: 1, Adjusted R-Squared: NaN
F-statistic vs. constant model: NaN, p-value = NaN
0 Comments
Accepted Answer
Star Strider
on 18 Jan 2020
In a linear regression of any sort, there is only one intercept.
2 Comments
Star Strider
on 18 Jan 2020
If you want to ssee what the intercepts of the individual variables are, you need to regress them individually. However, the entire idea of a multiple linear regression is to regress the various predictor variables together, to get a unified idea of how they all interact. Note that they do not have to be individual predictors, and can be interaction terms (predictors multiplised together) that distorts the idea of an intercept.
More Answers (2)
Image Analyst
on 18 Jan 2020
Why not do
coefficients = y \ x;
where y and x are tall matrices that have your observation values listed? (Or maybe it's y/x - I don't know which off the top of my head.)
0 Comments
andres santiago
on 28 Feb 2025
Undefined function 'fitlm' for input arguments of type 'double'. buenos dias me sale lo anterior como podria solucionar
1 Comment
Star Strider
on 28 Feb 2025
Edited: Star Strider
on 28 Feb 2025
@andres santiago — It’s a Statistics and Machine Learning Toolbox function. You have to have it licensed and installed in order to use its functions.
If you have it licensed and installed, you may have a path problem. In that instance, run these:
restoredefaultpath
rehash toolboxcache
A Vote would be appreciated!
.
EDIT — Corrected typographical errors.
See Also
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!