Probability - Linear Regression
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Gulfstream Gaming
on 21 Jan 2019
Commented: Gulfstream Gaming
on 22 Jan 2019
Can I get some help for this question?
Below is my attempt
x=[1 3 5 9 11 13];
y=[22 51 127 202 227 248 252];
scatter(x,y)
That is the furthest I can go. Any help would be appretiated. :)
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Accepted Answer
Star Strider
on 21 Jan 2019
Edited: Star Strider
on 21 Jan 2019
I don’t know if you have the Optimization Toolbox or the Statistics and Machine Learning Toolbox, both of which have nonlinear regression functions. One function everyone has is fminsearch (link).
To use it, you will need to optimise a function of the form:
fcn = @(b) norm(y - Hfcn(b,t));
where ‘Hfcn’ is the function you will write for ‘H(t)’, ‘b’ is the parameter vector, and ‘t’ and ‘y’ are the respective data vectors.
I leave the rest to you!
EDIT —
Your ‘t’ vector is also missing a value. It should be:
t=[1 3 5 7 9 11 13];
I discovered that when I actually did the regression.
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