• + 1 comment

    You're assuming that the data has been centered.

    • + 1 comment

      So, this code gives -0.68, which is wrong.

      #!/usr/bin/python import random,scipy.stats

      x=[] y=[] for _ in range(1000000): z=random.random() x.append(z) y.append((-3*z-8)/4.0) for _ in range(1000000): z=random.random() x.append(z) y.append((-4*z-7)/3.0)

      a,b = scipy.stats.pearsonr(x,y) print('%.2f'%(a))

      • + 1 comment

        Eh, so, I was able to solve this problem.

        When scipy.stats.linregress(x,y)[0] and scipy.stats.linregress(y,x)[0] are both -0.75, answer scipy.stats.pearsonr(x,y)[0].

        The problem statement is too difficult to understand...

        • + 0 comments

          I just get error when I submit the code and prints nothing when I run the code. Of course I have populated the x and y lists, tried your random population method too, but nothing. Any thoughts thanks a lot

          a,b = scipy.stats.pearsonr(x,y) print('%.2f'%(a))