I am assigned with a academic task to forecast temperature using CurveFitting.

Please suggest me whether I use Linear regression/ Non-Linear regression or extrapolation? I have to forecast 1 next week (days from 16 to 23) temperature.


temp=[34    36    38    35    36    37    40    41    39    40    41    38  39    42    40];

I have searched over the internet but couldn't found solution for it so I thought someone could be possibly helping me out here.

I am a beginner so please keep patience with blunders. :)

enter image description here


Your assignment probably is only to manifest your skills using that kinds of regression. So, try applying both and compare results as for the significance of terms (t-statistics of coefficients), adjusted R squared or Bayesian Information Criterion. However, practically, time series methods would be more appropriate.

  • $\begingroup$ Please have a look at the updated image and tell me I am going good with extrapolation. $\endgroup$ – Faisal Ashfaq May 24 '14 at 18:49
  • 1
    $\begingroup$ The linear is fine. The other apparently is quadratic curve, which is practically unfeasible for such a long forecast period, unless there is a prior information on such behaviour or theoretical grounds for it. $\endgroup$ – Germaniawerks May 25 '14 at 12:03

Your Answer

By clicking “Post Your Answer”, you agree to our terms of service, privacy policy and cookie policy

Not the answer you're looking for? Browse other questions tagged or ask your own question.