Compute cost for linear regression

computeCost.m

function J = computeCost(X, y, theta)
%COMPUTECOST Compute cost for linear regression
%   J = COMPUTECOST(X, y, theta) computes the cost of using theta as the
%   parameter for linear regression to fit the data points in X and y

% Initialize some useful values
m = length(y); % number of training examples

% We need to return the following variable

J = sum((X * theta - y) .^ 2) / (2*m)

end

Hi Guys,
Here is my solution.

function J = computeCost(X, y, theta)
%COMPUTECOST Compute cost for linear regression
% J = COMPUTECOST(X, y, theta) computes the cost of using theta as the
% parameter for linear regression to fit the data points in X and y
data = load('ex1data1.txt'); % read comma separated data

% Initialize some useful values
m = length(data); % number of training examples
X = [ones(m,1),data(:,1)]; y = data(:, 2);
theta = zeros(2,1);
% You need to return the following variables correctly
%J = 0;

% ====================== YOUR CODE HERE ======================
% Instructions: Compute the cost of a particular choice of theta
% You should set J to the cost.

J = sum((Xtheta - y).^2)/(2m);

% =========================================================================

end

you have to add the asterixs in the formula otherwise it will throw an error

what is the answer of J as I am getting incorrect answer while submitting

First write your code in computeCost.m don't run this code
then run ex.m and submit the assignment

data = load('ex1data1.txt'); % read comma separated data
y = data(:, 2);
m = length(y); % number of training examples
X = [ones(m, 1), data(:,1)]; % Add a column of ones to x
theta = zeros(2, 1);
excellent

code is worked

thanks a lot bros