Parameter Estimates

The parameter estimates table summarizes the model-estimated value of each parameter. Parameters in a nonlinear regression model usually do not have the same interpretation as linear regression coefficients, and often vary from model to model. As previously discussed, b1 represents the maximum possible sales, even if infinite advertising money were available. Its small standard error with respect to the value of the estimate suggests that you can be confident in the estimate. b2 is the difference between maximum possible sales and sales when no advertising money is spent. Its standard error is large and confidence interval is wide compared to the value of the estimate, so there is some uncertainty here. b3 controls the rate at which the maximum is reached, the so-called "rate constant". Like b2, there is some uncertainty in the estimate.

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