Linear Model final formula

Hi all,

I run the fitlm function and got the following results-

mdl =

Linear regression model: y ~ 1 + x1

Estimated Coefficients:

                   Estimate     SE          tStat      pValue    
    (Intercept)        13.02      1.7945     7.2555    5.2096e-11
    x1             -0.023421    0.016472    -1.4219       0.15779

How from here do I implement the formula y = β0 + ∑ βiXi + εi

THANKS!

Answer 1

[Roger Wohlwend]

In your example above x1 was a column vector. All you have to do is call the function with a matrix x that contains all the x variables.

[Ram Tal]

yeah, I got it, but what I wanted to know is how the model look like.

for example-

Y= -0.023421*X1+13.02 . I think this is how it should be according to the results, but i'm not 100% sure.

thanks.

[Roger Wohlwend]

I'm sorry but I don't understand at all what your question is. Could you please elaborate?