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Large molecules that are capable of stimulating the immune system and then reacting with the antibodies that are released to fight them are called
Predicted Values
Predicted values are the outcomes forecasted by a statistical model or algorithm based on existing data inputs.
Heteroscedasticity
A condition in regression analysis where the variance of the residuals or errors is not constant across all levels of an independent variable, violating one of the key assumptions of linear regression.
Errors
Differences between observed values and the values predicted by a model.
Standardized Residuals
Residuals that have been adjusted to have a mean of zero and a standard deviation of one, useful for comparing residuals across different datasets.
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