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2. Exponential models are best represented as non-linear models, as the pattern in the
residuals is more scattered when using a linear model.
3. The general form of a linear model is y=a+bx, where a represents the initial value or y-
intercept, b is the slope, and x is the independent variable.
4. In the exponential model, c is the value when x is equal to 0. B can be either the growth
factor or the decay factor and it is raised to a constant exponent.
5. When is the association negative in an exponential growth model? The association is
negative in an exponential growth model when b is greater than 0 and less than 1. This would
make b the decay factor and y would decrease.
6. Exponential models predict the growth or decay of a quantitative variable in the future by
multiplying by a constant.
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