Suppose that the sample regression equation of a second-order model is $= 2.50 + 0.15 x + 0.45 x ^ { 2 }$ . The value 4.60 is the:
A) predicted value of y for any positive value of x.
B) predicted value of y when x = 2.
C) estimated change in y when x increases by 1 unit.
D) intercept where the response surface strikes the x-axis.

Question

Suppose that the sample regression equation of a second-order model is $= 2.50 + 0.15 x + 0.45 x ^ { 2 }$ . The value 4.60 is the:
A) predicted value of y for any positive value of x. 
B) predicted value of y when x = 2. 
C) estimated change in y when x increases by 1 unit. 
D) intercept where the response surface strikes the x-axis.

Quizplus · Accepted Answer

The Answer of Suppose that the sample regression equation of a second-order model is $= 2.50 + 0.15 x + 0.45 x ^ { 2 }$ . The value 4.60 is the:
A) predicted value of y for any positive value of x. 
B) predicted value of y when x = 2. 
C) estimated change in y when x increases by 1 unit. 
D) intercept where the response surface strikes the x-axis.

Suppose That the Sample Regression Equation of a Second-Order Model =2.50+0.15x+0.45x2= 2.50 + 0.15 x + 0.45 x ^ { 2 }=2.50+0.15x+0.45x2

Suppose That the Sample Regression Equation of a Second-Order Model $= 2.50 + 0.15 x + 0.45 x ^ { 2 }$