The estimated regression equation for a model involving two independent variables and 10 observations follows.

= 22.1570 + 0.5906x₁ + 0.4990x₂

(a)Interpret

b₁in this estimated regression equation.b₁ = 0.4990 is an estimate of the change in y corresponding to a 1 unit change in x₁ when x₂ is held constant.

b₁ = 22.1570 is an estimate of the change in y corresponding to a 1 unit change in x₁ when x₂ is held constant.

b₁ = 0.4990 is an estimate of the change in y corresponding to a 1 unit change in x₂ when x₁ is held constant.

b₁ = 0.5906 is an estimate of the change in y corresponding to a 1 unit change in x₁ when x₂ is held constant.

b₁ = 0.5906 is an estimate of the change in y corresponding to a 1 unit change in x₂ when x₁ is held constant.

Interpret

b₂in this estimated regression equation.b₂ = 0.4990 is an estimate of the change in y corresponding to a 1 unit change in x₂ when x₁ is held constant.

b₂ = 0.4990 is an estimate of the change in y corresponding to a 1 unit change in x₁ when x₂ is held constant.

b₂ = 0.5906 is an estimate of the change in y corresponding to a 1 unit change in x₂ when x₁ is held constant.

b₂ = 0.5906 is an estimate of the change in y corresponding to a 1 unit change in x₁ when x₂ is held constant.

b₂ = 22.1570 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 = 160 and x₂ = 340.

=