1. Its impossible to know r with just regression equation b = r*sy/sx so without knowing standard deviation of x or y or snowing bxy we can't tell what r is byx here is 7 bxy is not given swati wrongly assumed the constant coeefficient a as byx and assumed it is equal to byx and correlation coefficient is always less than 1
2.in the second one for correlation we only take the signs of the3 relationship and not magnitude u = -0.75x - 1.75 so u and x are negatively correlated now x and y correlation is - so u and y correlation is 0.6 0.6