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.) ***
Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter4: Equations Of Linear Functions
Section4.6: Regression And Median-fit Lines
Problem 5PPS
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