Problems with Regress Function

I'm trying to make a linear regression I have a matrix 1439x5. The first column is observed data and the following 4 are predictor variables. my code looks like this

ans = regress(wl(:,1:1),wl(:,2:5))

I am only getting an output of 4 numbers, where there should be 1439. Any ideas?

Thank you in advance for any help

Answer 1

[the cyclist]

You say that you have 4 predictor variables. Therefore, you are estimating the coefficients of those 4 predictive terms in the linear regression. You get exactly what I would expect out of the function.

Why do you expect something else? Have you read

doc regress

?

[Robert]

Hi, you're too right. For some reason I thought it was going to spit out 1439 predicted values based on the coefficients, but re reading the regress doc made me realise I am wrong. Cheers

[the cyclist]

Glad it worked out. FYI, you can also use fitlm to fit linear regression models. This is the more object-oriented version that MATLAB introduced recently, and has a bunch of methods (such as predict) that can do things like get the predicted values.