In reference to the equation: $\hat { Y }$ = -0.25 + 0.08x₁ + 0.10x₂,the value -0.25 is the: A) predicted value of y. B) partial regression coefficient for x₁. C) partial regression coefficient for x₂. D) predicted value of y when x₁ = 0 and x₂ = 0. E) predicted value of when x₁ = 2 and x₂ = 1.

Question

Quizplus · Accepted Answer

The value -0.25 is the intercept of the regression equation, representing the predicted value of $\hat { Y }$ when all independent variables (x₁ and x₂) are equal to 0.

In Reference to the Equation Y^\hat { Y }Y^ = -025 + 0

In Reference to the Equation $\hat { Y }$ = -025 + 0