Question: You are given a set of 2D points in a Numpy array of points with shape (N, 2), where each row represents a point

You are given a set of 2D points in a Numpy array

You are given a set of 2D points in a Numpy array of points with shape (N, 2), where each row represents a point in the form (x, y). Your task is to fit a line to the points using the least squares method and determine the equation of the line in the form y = mx + b. Which NumPy function will you use to do this task? If we consider our dataset in the following manner: X 1 3 5 7 9 Y 246810 Can you find the equation of the line which can best fit these data points? What is the slope and y- intercept of the line? Write the complete python code for this. Also, Print the equation of the line in the form y = mx + b.

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