The equation used to predict annual cauliflower yield (in pounds per acre) is y=24,321 +4.534x₁ - 4.671x2, where x₁ is the number of acres planted and x2 is the number of acres harvested. Use the multiple regression equation to predict the y-values for the values of the independent variables. (a) x₁ = 36,200, x2 = 36,500 (b) x₁ = 37,800, x2 = 38,100 (c) x₁ = 38,900, x2 = 39,000 (d) x₁ = 42,100, x₂ = 42,200 (a) The predicted yield is pounds per acre. (Round to one decimal place as needed.) ***

The equation used to predict annual cauliflower yield (in pounds per acre) is y=24,321 +4.534x₁ - 4.671x2, where x₁ is the number of acres planted and x2 is the number of acres harvested. Use the multiple regression equation to predict the y-values for the values of the independent variables. (a) x₁ = 36,200, x2 = 36,500 (b) x₁ = 37,800, x2 = 38,100 (c) x₁ = 38,900, x2 = 39,000 (d) x₁ = 42,100, x₂ = 42,200 (a) The predicted yield is pounds per acre. (Round to one decimal place as needed.) ***

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Question

The equation used to predict annual cauliflower yield (in pounds per acre) is y = 24,321 +4.534x₁ - 4.671x2, where x₁
is the number of acres planted and x2 is the number of acres harvested. Use the multiple regression equation to
predict the y-values for the values of the independent variables.
(a) x₁ = 36,200, x₂ = 36,500
(b) x₁ = 37,800, x₂ = 38,100
(c) x₁ = 38,900, x₂ = 39,000
(d) x₁ = 42,100, x₂ = 42,200
(a) The predicted yield is pounds per acre
(Round to one decimal place as needed.)
**

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