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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.

 days=[1:15];

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

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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.

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  • $\begingroup$ Please have a look at the updated image and tell me I am going good with extrapolation. $\endgroup$
    – Faisal Ashfaq
    May 24, 2014 at 18:49
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    $\begingroup$ 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, 2014 at 12:03

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