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

= 29.1470 + 0.5607x₁ + 0.4940x₂

(a)Interpret b₁ in this estimated regression equation.

b₁ = 0.5607 is an estimate of the change in y corresponding to a 1 unit change in x₁ when x₂ is held constant.

b₁ = 0.5607 is an estimate of the change in y corresponding to a 1 unit change in x₂ when x₁ is held constant.

b₁ = 0.4940 is an estimate of the change in y corresponding to a 1 unit change in x₂ when x₁ is held constant.b₁ = 29.1470 is an estimate of the change in y corresponding to a 1 unit change in x₁ when x₂ is held constant.

b₁ = 0.4940 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 = 0.4940 is an estimate of the change in y corresponding to a 1 unit change in x₂ when x₁ is held constant.

b₂ = 0.4940 is an estimate of the change in y corresponding to a 1 unit change in x₁ when x₂ is held constant.

b₂ = 29.1470 is an estimate of the change in y corresponding to a 1 unit change in x₁ when x₂ is held constant.

b₂ = 0.5607 is an estimate of the change in y corresponding to a 1 unit change in x₁ when x₂ is held constant.

b₂ = 0.5607 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 = 340.