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Feb 25, 2020 1:31 PM
(1439 views)

How do I do a power analysis for the slope of a regression line in JMP? I'm trying to figure out how many samples I need to collect to look at the relationship between two quantitative variables.

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See the same book and search for power analysis. It is fully explained and it is demonstrated with examples that you can follow.

Learn it once, use it forever!

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Re: Power Analysis for Slope of a Regression Line

I suggest that you start with DOE > Custom Design. Define your response. Define your continuous factor. Define your model terms. Try some number of runs, make the design, and then open Design Evaluation > Power Analysis. You have two choices here. You can specify effect size and random variation on a relative basis. Leave RMSE at 1 and enter coefficients as multiples divided by 2. So if you expected an effect to be 3 standard deviations, enter 1.5 for the anticipated coefficient. Or you can evaluate it on an absolute bases. Enter the actual RMSE (response standard deviation) and the coefficient. This value will be one half of the total change expected in the response over the factor range.

Learn it once, use it forever!

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Re: Power Analysis for Slope of a Regression Line

Thank you! Is there an example somewhere I can follow?

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See the same book and search for power analysis. It is fully explained and it is demonstrated with examples that you can follow.

Learn it once, use it forever!

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Re: Power Analysis for Slope of a Regression Line

DOE 、NICE!

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