An exponential function can have negative y-values.
However, a real-world exponential decay model will never have negative values. Think of it this way... If you divide a positive number by 2 (or take half of it) and then divide that next number by 2, you will never reach or go below 0.
For Example:
20, 10, 5, 2.5, 1.25, 0.625, 0.3125, etc.
(Each number is half of the number before it.)
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It can be growth or decay - it depends on whether n is positive (growth) or negative (decay).
An exponential model is one in which the dependent variable, y, is related to the independent variable, x by a function of the formy = a*b^x or, equivalently, y = a*e^cx where a, b ad c are constants of the model and e is Euler's number, which is also the base of natural logarithms.
Transmitted
One example of an exponential relationship is the growth of bacteria in a controlled environment, where the population doubles at regular intervals. In contrast, a linear relationship can be observed in the distance traveled by a car moving at a constant speed over time. In both cases, the exponential model captures rapid growth, while the linear model illustrates steady, uniform change.
If a p-value is negative then there is something very seriously wrong - either with the probability model or your calculations.If a p-value is negative then there is something very seriously wrong - either with the probability model or your calculations.If a p-value is negative then there is something very seriously wrong - either with the probability model or your calculations.If a p-value is negative then there is something very seriously wrong - either with the probability model or your calculations.