Given are five observations for two variables, x and y. X; 1 4 2 8 10 14 2(x, - *)(Y, - F) d) Develop the estimated regression equation by computing the values of b, and b, using b, and b, =y- b,x. 9- 15.8- 2.6x x e) Use the estimated regression equation to predict the value of y when x- 4. 5.4 3.

Given are five observations for two variables, x and y. X; 1 4 2 8 10 14 2(x, - *)(Y, - F) d) Develop the estimated regression equation by computing the values of b, and b, using b, and b, =y- b,x. 9- 15.8- 2.6x x e) Use the estimated regression equation to predict the value of y when x- 4. 5.4 3.

Name: Staticies Given are five observations for two variables, x and y.2345Y
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Description: Staticies Given are five observations for two variables, x and y.2345Y;86.10142(x, - x)(Y, - F)2(x, - x)2(d) Develop the estimated regression equation by computing the values of b, and b, using b,and b, = y- b,x.9-15.8-2.6x x(e) Use the estimated reg

Algebra & Trigonometry with Analytic Geometry

13th Edition

ISBN:9781133382119

Author:Swokowski

Publisher:Swokowski

Chapter4: Polynomial And Rational Functions

Section4.6: Variation

Problem 2E

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The equation used to predict annual cauliflower yield (in pounds per acre) is y =24,231 + 4.417x, - 4.677x,, where x, is the number of acres planted and x, is the number of acres harvested. Use the multiple regression equation to predict the y-values for the values of the independent variables. (a) x, = 36,100, X2 = 36,500 (b) x, = 37,800, X2 = 38,100 (c) X4 = 38,800, X2 = 39,000 (d) x, = 42,100, X2 = 42,200 %3D %3D (a) The predicted yield is pounds per acre. (Round to one decimal place as needed.)
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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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