If we have a linear regression model with a quadratic term for the independent variable, e.g., y=Bo+$1x+32x + , and the sign of B1 is negative, while the sign of B2 is positive, then we can conclude that: a) the relationship between y and x is negative if the size of By is smaller than the size of B2. b)for values of x that are very close to zero, there is a positive relationship between y and x, but as x increases the relationship may become negative. c)for values of x that are very close to zero, there is a negative relationship between y and x, but as x increases the relationship may become positive. d) the relationship between y and x is positive if the size of B, is larger than the size of B2