1. Consider the linear regression models. The p-values are shown in parentheses [5 points). Model 1 Y=123.2 +0.89X₁ Model 2 Model 3 (0.0005) (0.00001) Y = 40.1 +0.14X₂ +0.61X, (0.003) (0.008) (0.0004) Y=-1.7+2.57X₁-1.78X₂ (0.006) (0.04) (0.2) R² = 0.600 R² = 0.825 R² = 0.876 Where Y is the number of trips, X, is the total employment, X₂ is the industrial employment, X, is the commercial employment. Choose the most appropriate model and explain why this model is selected as the most appropriate model. Hint: Consider both goodness-of-fit and coefficient significance.
1. Consider the linear regression models. The p-values are shown in parentheses [5 points). Model 1 Y=123.2 +0.89X₁ Model 2 Model 3 (0.0005) (0.00001) Y = 40.1 +0.14X₂ +0.61X, (0.003) (0.008) (0.0004) Y=-1.7+2.57X₁-1.78X₂ (0.006) (0.04) (0.2) R² = 0.600 R² = 0.825 R² = 0.876 Where Y is the number of trips, X, is the total employment, X₂ is the industrial employment, X, is the commercial employment. Choose the most appropriate model and explain why this model is selected as the most appropriate model. Hint: Consider both goodness-of-fit and coefficient significance.
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
Section5.6: Higher-degree Polynomials And Rational Functions
Problem 1TU: The following fictitious table shows kryptonite price, in dollar per gram, t years after 2006. t=...
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