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Back to the forum  Query: 2017-12-14 01:45 CET (UTC+1h)
 

just y=ax+b [General Sta­tis­tics]

posted by nobody - 2017-10-09 10:45  - Posting: # 17882
Views: 940

Best guess: in case of unweighted linear regression the highest calibrators always have the highest impact. For your example: Take 138 dBA as the mean of the regression function, as predictions will be best arround the mean.

If there is heteroscedastic data and weighted regression, the calibrators arround the weighted mean will have least impact on the calibration function.

I still have not fully understood the scope of the survey. Is it on best practice of study planning for calibration experiments?

Kindest regards, nobody

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