The equation used to predict annual cauliflower yield (in pounds per acre) is:\[\hat{y} = 24.209 + 4.556x_1 - 4.785x_2\]where \(x_1\) is the number of acres planted and \(x_2\) is the number of acres harvested. Use the multiple regression equation to predict the \(y\)-values for the values of the independent variables.Given data:(a) \(x_1 = 36,100\), \(x_2 = 36,500\)(b) \(x_1 = 37,800\), \(x_2 = 38,100\)(c) \(x_1 = 38,900\), \(x_2 = 39,000\)(d) \(x_1 = 42,100\), \(x_2 = 42,200\)Predicted yields:(a) The predicted yield is \(\_\_\) pounds per acre. (Round to one decimal place as needed.)(b) The predicted yield is \(\_\_\) pounds per acre. (Round to one decimal place as needed.)(c) The predicted yield is \(\_\_\) pounds per acre. (Round to one decimal place as needed.)(d) The predicted yield is \(\_\_\) pounds per acre. (Round to one decimal place as needed.)

given data regssion equation y^ = 24209+4.556x1-4.785x2we have to use this regression equation for…

The equation used to predict annual cauliflower yield (in pounds per acre) is y = 24,209+4.556x₁ harvested. Use the multiple regression equation to predict the y-values for the values of the independent variables. (a) x₁ = 36,100, 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.) (b) The predicted yield is pounds per acre. (Round to one decimal place as needed.) (c) The predicted yield is pounds per acre. (Round to one decimal place as needed.) (d) The predicted yield is pounds per acre. GECOD

The equation used to predict annual cauliflower yield (in pounds per acre) is y = 24,209+4.556x₁ harvested. Use the multiple regression equation to predict the y-values for the values of the independent variables. (a) x₁ = 36,100, 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.) (b) The predicted yield is pounds per acre. (Round to one decimal place as needed.) (c) The predicted yield is pounds per acre. (Round to one decimal place as needed.) (d) The predicted yield is pounds per acre. GECOD

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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