The equation used to predict annual cauliflower yield (in pounds per acre) is y = 23,684 + 4.548x, - 4.744x2, 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, = 35,300, X2 = 35,700 (b) x, = 37,100, x2= 37,300 (c) x, = 38,100, x2 = 38,200 (d) x, = 41,300, x2=41,400 (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 = 23,684 + 4.548x1 - 4.744x2, 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, = 35,300, X2 = 35,700
(b) x, = 37,100, x2 = 37,300
(c) X4 = 38,100, X2 = 38,200
(d) x, = 41,300, x2 = 41,400
%3D
(a) The predicted yield is
pounds per acre.
(Round to one decimal place as needed.)
Transcribed Image Text:The equation used to predict annual cauliflower yield (in pounds per acre) is y = 23,684 + 4.548x1 - 4.744x2, 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, = 35,300, X2 = 35,700 (b) x, = 37,100, x2 = 37,300 (c) X4 = 38,100, X2 = 38,200 (d) x, = 41,300, x2 = 41,400 %3D (a) The predicted yield is pounds per acre. (Round to one decimal place as needed.)
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