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A statistical program is recommended. Consider the following data for a dependent variable y and two independent variables, x₁ and x₂. X1 X₂ 30 12 94 47 51 40 25 17 112 51 74 36 59 10 76 y 108 16 178 19 5 94 12 175 7 170 117 13 142 16 211

A statistical program is recommended. Consider the following data for a dependent variable y and two independent variables, x₁ and x₂. X1 X₂ 30 12 94 47 51 40 25 17 112 51 74 36 59 10 76 y 108 16 178 19 5 94 12 175 7 170 117 13 142 16 211

Functions and Change: A Modeling Approach to College Algebra (MindTap Course List)
Functions and Change: A Modeling Approach to College Algebra (MindTap Course List)
6th Edition
ISBN:9781337111348
Author:Bruce Crauder, Benny Evans, Alan Noell
Publisher:Bruce Crauder, Benny Evans, Alan Noell
Chapter5: A Survey Of Other Common Functions
Section5.3: Modeling Data With Power Functions
Problem 3TU
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A statistical program is recommended. Consider the following data for a dependent variable y and two independent variables, x₁ and x₂. X1 X2 30 12 94 47 ŷ = 25 17 112 51 16 178 51 40 5 94 74 y 36 59 10 108 76 19 175 7 170 12 117 Predict y if X₁ 13 142 (a) Develop an estimated regression equation relating y to x₁. (Round your numerical values to one decimal place.) ŷ = 16 211 Predict y if x₁ = 51. (Round your answer to one decimal place.) (b) Develop an estimated regression equation relating y to x₂. (Round your numerical values to one decimal place.) Predict y if x₂ = 19. (Round your answer to one decimal place.) (c) Develop an estimated regression equation relating y to x, and x₂. (Round your numerical values to one decimal place.) ŷ = = 51 and x₂ = 19. (Round your answer to one decimal place.)
Transcribed Image Text:A statistical program is recommended. Consider the following data for a dependent variable y and two independent variables, x₁ and x₂. X1 X2 30 12 94 47 ŷ = 25 17 112 51 16 178 51 40 5 94 74 y 36 59 10 108 76 19 175 7 170 12 117 Predict y if X₁ 13 142 (a) Develop an estimated regression equation relating y to x₁. (Round your numerical values to one decimal place.) ŷ = 16 211 Predict y if x₁ = 51. (Round your answer to one decimal place.) (b) Develop an estimated regression equation relating y to x₂. (Round your numerical values to one decimal place.) Predict y if x₂ = 19. (Round your answer to one decimal place.) (c) Develop an estimated regression equation relating y to x, and x₂. (Round your numerical values to one decimal place.) ŷ = = 51 and x₂ = 19. (Round your answer to one decimal place.)
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