This first part I am just looking for confirmation that I am working it correctly:

I have 30 observations and sumX=30, sumX^{2}=150, sumY=120, sumY^{2}=1830 and sumXY=480.

I found the variance of X to be V[X]= E[X^{2}] - (E[X])^{2}= (150/30) - (1^{2}) = 5 - 1 = 4

the variance of X to be V[Y]= E[Y^{2}] - (E[Y])^{2}= (1830/30) - (4^{2}) = 61 - 16 = 45

and the covariance of X,Y to be Cov[X,Y] = E[XY] - E[X]E[Y] = (480/30) - (1)(4) = 16 - 4 = 12

Then I was asked to fit a regression line and I found beta to be Cov[X,Y]/V[X] = 12/4 = 3.

Alpha = E[Y] - beta*E[X] = 4 - 3 * 1 = 1 and the regression equation is Y = 1 + 3X

Now the part I am stuck:

Suppose I am told that the scale of the X variable is was cut in half for this data (i.e. the original variable was 2X that given above). What would we find out about our regression coefficients?

In this case my sumX=60 and sumX^{2}=300 ? But how would I know the effect on sumXY as I don't know the actual X inputs, only that they are twice what I was originally told. And I need sumXY to calculate new regression coefficients to determine a change.

I appreciate any help figuring this part out...thanks!