For the data base that follows, derive the least-squares estimates of the regression coefficients for the model y = bo + b1X1 + b2X2. (Note: The computations can be simplified by subtracting the mean value from each observation; if such a transformation is made, it is necessary to adjust the computed value of the intercept.)

Y 5 2 11 8 9 X1 1 2 3 4 5 X2 16 11 14 12 7 13-14. Derive relationship for computing the values of the three regression coefficients b0, b1, and b2 from the known values of the standardized partial regression coefficients t1 and t2 for the model zy = t1z1 +

t2z2.