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Results of an F-test model comparison. For each comparison, the data for all 4 subjects were included individually. The F-test compares the increase in the extra sum-of-squares value caused by a shared α parameter to the corresponding increase in degrees of freedom associated with two separate parameters to quantify whether two separate α values are warranted.
