Parameter Estimates

Figure 1. Parameter estimates
Parameter estimates table showing unstandardized and standardized coefficients (B and Beta), t, and significance values

The Cubic model states that the expected proportion of infected e-mails is equal to -0.123 + 0.088*hours since detection - 0.004*hours since detection squared + 0.00004399*hours since detection cubed. The positive value for the linear term suggests that the dependent variable increases initially with time. The negative value for the squared term says that past a certain point, the number of infected e-mails decreases. The positive value for the cubic term actually suggests that the number rises again!

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