The function must express the model you are fitting in terms of a vector of parameters and the independent variable, with the parameter vector being the first argument, and the independent variable the second argument.
Ideally, your model would be something like:
modelfun = @(b,x) b(1) + b(2).*x.^2;
If you are estimating no parameters, it makes no sense to use any parameter estimation function.