The equation used to predict annual cauliflower yield (in pounds per acre) is y = 23,255 +4.599x, - 4.612x,, 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, x, = 35,700 (b) x, 37,000, x, = 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.) Enter your answer in the answer box and then click Check Answer. Clear All Check Answer parts remaining mathematic
The equation used to predict annual cauliflower yield (in pounds per acre) is y = 23,255 +4.599x, - 4.612x,, 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, x, = 35,700 (b) x, 37,000, x, = 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.) Enter your answer in the answer box and then click Check Answer. Clear All Check Answer parts remaining mathematic
Algebra & Trigonometry with Analytic Geometry
13th Edition
ISBN:9781133382119
Author:Swokowski
Publisher:Swokowski
Chapter3: Functions And Graphs
Section3.3: Lines
Problem 76E
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Transcribed Image Text:The equation used to predict annual cauliflower yield (in pounds per acre) is y = 23,255 + 4.599x, -4.612x,, where x, 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) x, = 35,300, x, = 35,700
(b) x, = 37,000, x, = 37,300
(c) x, = 38,100, x2 = 38,200
(d) x, = 41,300, X, = 41,400
(a) The predicted yield is pounds per acre.
(Round to one decimal place as needed.)
Enter your answer in the answer box and then click Check Answer.
Clear All
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