Cross Validated
2022-07-08 15:17 UTC
By Rose
AI-113-20220708-social-media-31816e2e
Does the P value need to be "back-transformed" after logging one variable in regression?
I have a data series, sediment concentration in water versus time. The data is not normal but I want to use regression and so have logged the sediment concentration ( $\log_{10}(x)$ ). The residual and fit to model is now much better. I want to use the p value and r squared values from the logged regression output. Do these need to be transformed back using $e^x$ ? This is being carried out in Excel using the data analysis tool:
I have a data series, sediment concentration in water versus time. The data is not normal but I want to use regression and so have logged the sediment concentration ( $\log_{10}(x)$ ). The residual and fit to model is now much better. I want to use the p value and r squared values from the logged regression output. Do these need to be transformed back using $e^x$ ? This is being carried out in Excel using the data analysis tool:
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Cross Validated
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