a.
To identify the given model as exponential growth, exponential decay, gaussian, linear, logarithmic, logistic growth, quadratic or none of above.
a.
![Check Mark](/static/check-mark.png)
Explanation of Solution
Let us consider the following graph
This is a logarithmic model since
b.
To identify the given model as exponential growth, exponential decay, gaussian, linear, logarithmic, logistic growth, quadratic or none of above.
b.
![Check Mark](/static/check-mark.png)
Explanation of Solution
Let us consider the following graph
This is a logistic growth model since, it becomes constant after a while.
c.
To identify the given model as exponential growth, exponential decay, gaussian, linear, logarithmic, logistic growth, quadratic or none of above.
c.
![Check Mark](/static/check-mark.png)
Explanation of Solution
Let us consider the following graph
This is an exponential decay model.
d.
To identify the given model as exponential growth, exponential decay, gaussian, linear, logarithmic, logistic growth, quadratic or none of above.
d.
![Check Mark](/static/check-mark.png)
Explanation of Solution
Let us consider the following graph
This graph is a linear model.
e.
To identify the given model as exponential growth, exponential decay, gaussian, linear, logarithmic, logistic growth, quadratic or none of above.
e.
![Check Mark](/static/check-mark.png)
Explanation of Solution
Let us consider the following graph
This graph doesn’t represent anything out of the given names.
f.
To identify the given model as exponential growth, exponential decay, gaussian, linear, logarithmic, logistic growth, quadratic or none of above.
f.
![Check Mark](/static/check-mark.png)
Explanation of Solution
Let us consider the following graph
This graph is an exponential model.
g.
To identify the given model as exponential growth, exponential decay, gaussian, linear, logarithmic, logistic growth, quadratic or none of above.
g.
![Check Mark](/static/check-mark.png)
Explanation of Solution
Let us consider the following graph
This is a quadratic model, as the value of is positive or negative, the graph will take the values in positive or negative quadrant for
h.
To identify the given model as exponential growth, exponential decay, gaussian, linear, logarithmic, logistic growth, quadratic or none of above.
h.
![Check Mark](/static/check-mark.png)
Explanation of Solution
Let us consider the following graph
This is a Gaussian model.
Chapter 3 Solutions
EBK PRECALCULUS W/LIMITS
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