Hi everyone,
The following may be a simple question but I appreciate any answers you may provide.
Assume we are in a simple linear regression setting where we need to predict Y from X based on aggregate data available for a set of consecutive calendar years (e.g., 2000, 2001, 2002, ..., 2012). The aggregate data consist of mean and/or coefficients of variations for X and Y across the set of available years.
What kind of frequentist/Bayesian regression method(s) should we use when regressing the outcome Y on the predictor X and we have:
a) Means and coefficients of variation for X and means only for Y;
b) Means for X and means and coefficients of variation for Y;
c) Means and coefficients of variation for both X and Y.
The underlying purpose is prediction of the value of Y for the next year given the available data.
Many thanks,
Isabella
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Isabella Ghement
Ghement Statistical Consulting Company Ltd.
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