The partial results below are based on a sample of recently trained workers, to determine if the number of hours of training time received (X, in hours) has helped in improving the time taken to troubleshoot a process problem (Y, in minutes). Summary Statistics Variance Uncorrected SS Corrected SS (SSxx) 7.21 5.824275 Variable Мean 24 1381 133.9583 Y 24 15.9583333 19.08514 6551 438.9583 Parameter Estimates Variable Parameter Standard Estimate Error Intercept 28.48491 0.8197 Training (X) -1.73779 0.10806 Standard Error 1.25073 R-Square 0.9216 Given that a worker has received 432.6 minutes of training, what is the upper prediction limit with a 90% confidence coefficient for the time taken to troubleshoot a process problem?

The partial results below are based on a sample of recently trained workers, to determine if the number of hours of training time received (X, in hours) has helped in improving the time taken to troubleshoot a process problem (Y, in minutes). Summary Statistics Variance Uncorrected SS Corrected SS (SSxx) 7.21 5.824275 Variable Мean 24 1381 133.9583 Y 24 15.9583333 19.08514 6551 438.9583 Parameter Estimates Variable Parameter Standard Estimate Error Intercept 28.48491 0.8197 Training (X) -1.73779 0.10806 Standard Error 1.25073 R-Square 0.9216 Given that a worker has received 432.6 minutes of training, what is the upper prediction limit with a 90% confidence coefficient for the time taken to troubleshoot a process problem?

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Description: The partial results below are based on a sample of recently trained workers, to determine if thenumber of hours of training time received (X, in hours) has helped in improving the time takento troubleshoot a process problem (Y, in minutes).Summary S

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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