reply to EMI

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.