Compute sigmoid function, the hypothesis function in Logistic Regression

sigmoidFunction.matlab

function g = sigmoidFunction(z)
%	Compute sigmoid function

  % You need to return the following variables correctly
  g = zeros(size(z));

  % Instructions: z can be a matrix, vector or scalar
  g = 1.0 ./ ( 1.0 + exp(-z)); % For Matlab
  % g = 1.0 ./ ( 1.0 + e.^(-z)); % For Octave, it can use 'exp(1)' or 'e'
    
end

Why does the expression g = 1`/ (1 + exp(-y)) does not work in Octave if v is a 100 x 1 vector ??
-=-=-=-=-=-=-=-=-=
octave:70> size(y)
ans =
100 1

octave:71> y=zeros([100,1]);
octave:72> g=1/(1+exp(-y))
g =
Columns 1 through 16:
0.0050000 0.0050000 0.0050000 0.0050000

Hey!
May you explain the use of g = zeros(size(z)); here!

I tried and ran it into octave for every scalar like:
a=2;
size(2);
it always gave out of
1 1

can you explain it!

Can you explain the use of g = zeros(size(z));
I am not able to get how to use it

It allows you to catch the number of elements whether its a matrix/vector/scalar, and apply properly the elementwize option.