Statistical Power Determination
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Power: Simple or Multiple Linear Regression
This utility can be used to calculate statistical power gained with given sample size for Simple or Multiple Linear Regression to test significant deviation of effect size, R
2
, from 0.
Method used and other details
Sample Size in your study (N)
Required
Sample Size in your study (N).
Number of predictors (k)
Required
Number of predictors in your study.
Effect size in your study. You can choose any effect size from available options.
f squared
f
R squared
η squared
Required
Approximate expected effect size, based on previus studies / pilot study. you can choose any of following four.
f squared (f
2
), f, R squared (R
2
), η squared (η
2
).
Confidence Level %
Enter positive number between 0.01 to 99.99
Required
In percentage. Commonly used values are 95, 99 and 90. Should be between 0.01 to 99.99.
Power ( 1 - β) =
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