I would like to mask the observations in my regression data set, but would like the coefficients/standard errors to remain constant between regressions run on the masked and unmasked data. Is this possible? How would I go about doing this? I think I would have to do something with the correlations between the variables, but not sure where to go after. Thanks.
I have data that is confidential. I would like to visually change the values so that I could publish the data set, but also preserve the regression coefficients/standard errors and underlying correlation structure of the original, confidential data.
I think you could reach some level of anonymity by removing axis scales on graphs and by removing intercepts in regression equations.
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