All positive integers have an exponential form. For example, 43 can also be written as 431.
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.)
fundamental difference between a polynomial function and an exponential function?
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.
While this is not the complete definition, an exponential expression has the variable (for example, "x") in the exponent.
The exponential model of population growth applies when a population grows at a constant rate without any limiting factors. It assumes unlimited resources and ideal conditions for growth. While suitable for short-term predictions in some situations, this model often oversimplifies real-world population dynamics.
the answer must be exponential growth model.
follow the society of light
In a scatter plot that is an exponential model, data can appear to be growing in incremental rates. In this type of model the data will only cross the Y-axis at one point.
A density dependent factor
Exponential growth does not have an origin: it occurs in various situations in nature. For example if the rate of growth in something depends on how big it is, then you have exponential growth.
All positive integers have an exponential form. For example, 43 can also be written as 431.
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remains constant
both have steep slopes both have exponents in their equation both can model population
The validity of the projection depends on the validity of the model. If the model is valid over the domain in question then the projection is valid within that domain. If the model is not then the projection is not. And that applies to all kinds of graphs - not just exponential.
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.)