1.2

The estimated regression equation for a model involving two independent variables and 10 observations follows. r; = 23.1670 + 0.5502X1 + 0.4990x2 (a) Interpret b1 in this estimated regression equation. 0 b1 = 0.5502 is an estimate of the change in y corresponding to a 1 unit change in X2 when X1 is held constant. 0 b1 = 0.4990 is an estimate of the change in y corresponding to a 1 unit change in X1 when X2 is held constant. 0 b1 = 23.1670 is an estimate of the change in y corresponding to a 1 unit change in X1 when X2 is held constant. O b1 = 0.5502 is an estimate of the change in y corresponding to a 1 unit change in X1 when X2 is held constant. C) b1 = 0.4990 is an estimate of the change in y corresponding to a 1 unit change in X2 when X1 is held constant. Interpret 72 in this estimated regression equation. 0 b2 = 0.4990 is an estimate of the change in y corresponding to a 1 unit change in X1 when X2 is held constant. 0 b2 = 23.1670 is an estimate of the change in y corresponding to a 1 unit change in X1 when x2 is held constant. 0 b2 = 0.5502 is an estimate of the change in y corresponding to a 1 unit change in X2 when x1 is held constant. O b2 = 0.5502 is an estimate of the change in y corresponding to a 1 unit change in X1 when X2 is held constant. 0 b2 = 0.4990 is an estimate of the change in y corresponding to a 1 unit change in X2 when X1 is held constant. (b) Predict y when X1 = 190 and x2 = 330. E