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In window-based transport methods for stabilizing and/or maximizing the goodput at the destination, it is very important to understand the statistical properties of the transport control and performance response parameters. Based on traffic measurements collected over the Internet during a 6-month period, we formulate and test hypotheses on the main effects of two control parameters on the goodput response and the interaction effects between them. We infer from the statistical analysis that the congestion window and sleep time parameters strongly interact with each other, and they both have significant main effects on the destination goodput. Consequently the underlying randomness in network traffic must be explicitly accounted for in the design of flow control methods.