Consider the following regression model: y = 0 + 1 x 1 + u . Suppose that V a r ( x ) = 2 C o v ( x , y ) , where V a r ( x ) is the sample variance of x and C o v ( x , y ) is the sample covariance between x and y . If estimated via OLS, then

a) b^1 = 0.5

b) b^1 = 0.2

c) b^1 = 0

d) b^1 = 2