Model 1: Common Regression across All Batches
This model is appropriate when the intercepts and slopes do not differ across batches and the data therefore can be pooled in order to estimate a common intercept and common slope.
This model is appropriate when the intercepts and slopes do not differ across batches and the data therefore can be pooled in order to estimate a common intercept and common slope.
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