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The Following Data Are Available for a Simple Linear Regression

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The following data are available for a simple linear regression analysis attempting to link hours of training (x) to hourly output (y) . The following data are available for a simple linear regression analysis attempting to link hours of training (x)  to hourly output (y) .   In applying the least squares criterion, the slope (b)  and the intercept (a)  for the best-fitting line are b = 2.4 and a = 3.6.Compute the value of r, the correlation coefficient here. A) .735 B) .776 C) .857 D) .926 In applying the least squares criterion, the slope (b) and the intercept (a) for the best-fitting line are b = 2.4 and a = 3.6.Compute the value of r, the correlation coefficient here.


Definitions:

Type II Errors

False negatives in statistical hypothesis testing, where a real effect or difference is missed because it is incorrectly assumed there's no effect.

Type I Errors

Occurs when a statistical hypothesis test incorrectly rejects a true null hypothesis, leading to a false positive result.

Statistically Nonsignificant

A term used to describe a result that does not show a meaningful difference or relationship as determined by statistical analysis.

Confounds

Variables that are not controlled in a research study, potentially leading to incorrect conclusions by mixing their effects with those of the variables of interest.

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