Consider a regression model for predicting monthly electricity cost (Cost in $) on the basis of average
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Consider a regression model for predicting monthly electricity cost (Cost in $) on the basis of average outdoor temperature (Temp in °F), working days per month (Days), and tons of product produced (Tons). The accompanying data file contains data on 80 observations. Use the holdout method to compare the predictability of the linear and the exponential regression models using the first 60 observations for training and the remaining 20 observations for validation.
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Related Book For
Business Analytics Communicating With Numbers
ISBN: 9781260785005
1st Edition
Authors: Sanjiv Jaggia, Alison Kelly, Kevin Lertwachara, Leida Chen
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