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...


The partial results below are based on a sample of recently trained workers, to determine if the<br>number of hours of training time received (X, in hours) has helped in improving the time taken<br>to troubleshoot a process problem (Y, in minutes).<br>Summary Statistics<br>Variable<br>N.<br>Мean<br>Variance Uncorrected SS Corrected SS (SSxx)<br>24<br>7.21 5.824275<br>1381 133.9583<br>Y<br>24<br>15.9583333 19.08514<br>6551 438.9583<br>Parameter Estimates<br>Parameter Standard<br>Error<br>Variable<br>Estimate<br>28.48491<br>0.81973<br>Intercept<br>Training (X)<br>-1.73779<br>0.10806<br>Standard Error 1.25073<br>R-Square<br>0.9216<br>Given that a worker has received 432.6 minutes of training, what is the upper prediction limit<br>with a 90% confidence coefficient for the time taken to troubleshoot a process problem?<br>

Extracted text: 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 Variable N. Мean Variance Uncorrected SS Corrected SS (SSxx) 24 7.21 5.824275 1381 133.9583 Y 24 15.9583333 19.08514 6551 438.9583 Parameter Estimates Parameter Standard Error Variable Estimate 28.48491 0.81973 Intercept 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?

Jun 08, 2022
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