Learning curves are used in production operations to estimate the time required to complete a repetitive task as an operator gains experience. The accompanying data file includes 30 time values (in minutes) for a particular operator as she progressed down the learning curve during the first 100 units. Click here for the Excel Data File b. Estimate the simple linear regression model and the logarithmic regression model for predicting time per unit using unit number as the predictor variable. Note: Negative values should be indicated by a minus sign. Round your answers to 2 decimal places. Time = Time = + + Unit In(Unit) c. Based on R², use the best-fitting model to predict the time that was required for the operator to build Unit 50. Note: Round coefficient estimates to at least 4 decimal places and final answer to 2 decimal places. Time = minutes
Learning curves are used in production operations to estimate the time required to complete a repetitive task as an operator gains experience. The accompanying data file includes 30 time values (in minutes) for a particular operator as she progressed down the learning curve during the first 100 units. Click here for the Excel Data File b. Estimate the simple linear regression model and the logarithmic regression model for predicting time per unit using unit number as the predictor variable. Note: Negative values should be indicated by a minus sign. Round your answers to 2 decimal places. Time = Time = + + Unit In(Unit) c. Based on R², use the best-fitting model to predict the time that was required for the operator to build Unit 50. Note: Round coefficient estimates to at least 4 decimal places and final answer to 2 decimal places. Time = minutes
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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Transcribed Image Text:Learning curves are used in production operations to estimate the time required to complete a repetitive
task as an operator gains experience. The accompanying data file includes 30 time values (in minutes)
for a particular operator as she progressed down the learning curve during the first 100 units.
Click here for the Excel Data File
b. Estimate the simple linear regression model and the logarithmic regression model for predicting
time per unit using unit number as the predictor variable.
Note: Negative values should be indicated by a minus sign. Round your answers to 2 decimal
places.
Time =
Time =
+
+
Unit
In(Unit)
c. Based on R², use the best-fitting model to predict the time that was required for the operator to
build Unit 50.
Note: Round coefficient estimates to at least 4 decimal places and final answer to 2 decimal
places.
Time =
minutes
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