The estimated regression equation for a model involving two independent variables and 10 observations follows.
? = 21.1570 + 0.5206x1 + 0.4930x2
(a)
Interpret
b1
in this estimated regression equation.
b1 = 0.4930 is an estimate of the change in y corresponding to a 1 unit change in x2 when x1 is held constant.
b1 = 0.4930 is an estimate of the change in y corresponding to a 1 unit change in x1 when x2 is held constant.
b1 = 0.5206 is an estimate of the change in y corresponding to a 1 unit change in x2 when x1 is held constant
.b1 = 0.5206 is an estimate of the change in y corresponding to a 1 unit change in x1 when x2 is held constant.
b1 = 21.1570 is an estimate of the change in y corresponding to a 1 unit change in x1 when x2 is held constant.
Interpret
b2
in this estimated regression equation.
b2 = 0.5206 is an estimate of the change in y corresponding to a 1 unit change in x1 when x2 is held constant.
b2 = 0.4930 is an estimate of the change in y corresponding to a 1 unit change in x2 when x1 is held constant.
b2 = 0.5206 is an estimate of the change in y corresponding to a 1 unit change in x2 when x1 is held constant.
b2 = 21.1570 is an estimate of the change in y corresponding to a 1 unit change in x1 when x2 is held constant.
b2 = 0.4930 is an estimate of the change in y corresponding to a 1 unit change in x1 when x2 is held constant.
(b)
Predict y when
x1 = 190 and x2 = 320.