A regression equation was found to be  for this equation was .95. The values of x₁ ranged from -10 to 15 and those of x₂ from -20 to -50. Which of the following statements are true?

(a) Variable x₂ is more strongly correlated with y than is x₁ because its regression coefficient is larger.

(b) When x₁ = 0 and x₂ = 0, the predicted value of y is 1.5, and this value has legitimate physical meaning because the data values for x₁ and x₂ span zero.

(c) A very high proportion of the squared error of prediction incurred by using y̅ as the predictor can be eliminated by using the regression in making predictions.

Transcribed Image Text:

y 1.5 + 2x + 3.1.x2. R =