Linear regression with blocked data is a statistical method used to analyze the relationship between variables while accounting for the influence of specific groups or blocks within the data. This approach helps in controlling for variability among different blocks, improving the accuracy of predictions by focusing on the relationship between independent and dependent variables within each block.
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