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A statistical program is recommended. Consider the following data for a dependent variable y and two independent variables, x, and x₂ 30 12 94 47 10 108 25 17 112 51 16 178 51 19 175 74 7 170 36 12 117 59 13 142 76 16 211 (a) Develop an estimated regression equation relating y to x₁- (Round your numerical values to one decimal place.) Predict y if x₂-51. (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 x₂-16. (Round your answer to one decimal place.) (c) Develop an estimated regression equation relating y tox, and x₂. (Round your numerical values to one decimal place.) Predict y if x₂ - 51 and x₂ 16. (Round your answer to one decimal place.)

A statistical program is recommended. Consider the following data for a dependent variable y and two independent variables, x, and x₂ 30 12 94 47 10 108 25 17 112 51 16 178 51 19 175 74 7 170 36 12 117 59 13 142 76 16 211 (a) Develop an estimated regression equation relating y to x₁- (Round your numerical values to one decimal place.) Predict y if x₂-51. (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 x₂-16. (Round your answer to one decimal place.) (c) Develop an estimated regression equation relating y tox, and x₂. (Round your numerical values to one decimal place.) Predict y if x₂ - 51 and x₂ 16. (Round your answer to one decimal place.)

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
Chapter3: Straight Lines And Linear Functions
Section3.CR: Chapter Review Exercises
Problem 15CR: Life Expectancy The following table shows the average life expectancy, in years, of a child born in...
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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. ŷ = 30 25 ŷ = 47 10 108 51 40 51 x2 y 12 94 59 17 112 16 178 5 94 19 175 74 7 170 36 12 117 13 142 (a) Develop an estimated regression equation relating y to x₁. (Round your numerical values to one decimal place.) 76 16 211 Predict y if x₁ X 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 = 16. (Round your answer to one decimal place.) (c) Develop an estimated regression equation relating y to x₁ and x₂. (Round your numerical values to one decimal place.) ŷ = Predict y if x₁ = 51 and x₂ = 16. (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. ŷ = 30 25 ŷ = 47 10 108 51 40 51 x2 y 12 94 59 17 112 16 178 5 94 19 175 74 7 170 36 12 117 13 142 (a) Develop an estimated regression equation relating y to x₁. (Round your numerical values to one decimal place.) 76 16 211 Predict y if x₁ X 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 = 16. (Round your answer to one decimal place.) (c) Develop an estimated regression equation relating y to x₁ and x₂. (Round your numerical values to one decimal place.) ŷ = Predict y if x₁ = 51 and x₂ = 16. (Round your answer to one decimal place.)
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