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Example Domain | Example Range | |
---|---|---|
Dry Roadway Model | [0,120] | [0,605] |
Wet Roadway Model | [0,120] | [0,923] |
From the table and graph, we can see that our domain is comprised of the possible speeds of a certain automobile, and that the range will be the stopping distance corresponding to each speed.
Since the average top speed of a car is around 120 mph and because we cannot have negative speeds, a reasonable domain would be [0,120]. Domain (Both Models) [0.8em] [0,120] On the other hand, to find the range for each case we need to have an idea of how each function assigns the y-values.
Notice that the values for the variable x are speeds and this is a continuous quantity. Therefore, the range can be obtained as the interval within the corresponding stopping distances for the minimum and maximum values of the domain interval endpoints. Domain: & [ 0, 120] Range: & [f( 0),f( 120)] To do this we need to find a function rule for each model.
Let's start with the table of values. We can plot these values to get an idea of the behavior of the function.
Notice that the points tend to follow a curved trajectory more than a straight line. For this reason, we can try a quadratic regression. We can do this using a graphic calculator. We will show the steps to do it.
QuadReg.
In this case, the found quadratic equation fits the data very well. Therefore, the quadratic model is quite reasonable. Rounding the parameters a, b, and c to 3 decimal places, we obtain a quadratic function for the data in the table. y =0.042x^2-0.041x+0.889 For the other case, we have a graph of a function which also suggests a non-linear behavior. We can try to localize some points approximately and repeat the process.
Let's use the points (0,0), (20,23), (40,66), and (50,100) to get a quadratic regression equation. Following the same steps as before, we obtain the equation below. y=0.076x^2−1.479x+6.139 We graph the data points and the equation together to see how well the equation fits the data points.
We see that this time our quadratic model is not as precise as in the previous case. This can be because the function is not a quadratic relation, or due to the error when approximating the points location. However, we can use it as an approximation.
x= 120
Calculate power
Multiply
Add and subtract terms
Round to nearest integer
x= 120
Calculate power
Multiply
Add and subtract terms
Round to nearest integer
Domain | Range | |
---|---|---|
Dry Roadway Model | [0,120] | [0,605] |
Wet Roadway Model | [0,120] | [0,923] |
Notice that the criteria we used when defining a reasonable domain can change. We could have done it according to the speed limit allowed, for example. Furthermore, when finding the function rules we used approximations. Therefore, these are just examples solutions, and there could be other similar and valid answers.