Concept explainers
a
To draw
Given information:
Let
The above table shows the percent of U.S households with Television from 2007 through 2012.
Graph:
Interpretation:
Using the graphing utility, the scatter plot for the given data is shown above.
b
To find a linear model for the data using regression feature of a graphing utility and coefficient of determination.
Given information:
Calculation:
Using the graphic utility to find the regression,
Insert the data in the table in a graphic utility to get the following results:
Conclusion:
Therefore, from the above figure., the regression equation for the linear model is
c
To draw the graph with the scatter plot from subpart (a) using a graphic utility.
Given information:
Graph:
Interpretation:
Using a graphic utility, a straight line is formed when the data is kept on a graph.
d
To find a quadratic model for the data using regression feature of a graphing utility and determine the coefficient of determination.
Given information:
Calculation:
Using the graphic utility to find the regression,
Insert the data in the table in a graphic utility to get the following results:
Conclusion:
Therefore, from the above figure., the regression equation for the quadratic model is
e
To draw the graph with the scatter plot from subpart (a) using a graphic utility.
Given information:
Graph:
Interpretation:
Using a graphic utility, a parabola is formed when the data is kept on a graph.
f
To find a better fit for the data given.
Quadratic model
Given information:
Coefficient of determination:
Quadratic model:
Linear model:
Explanation:
Coefficient of regression is an indicator of how well the regression model fits the data, with a value nearing 1 indicating a good fit and one near 0 indicating a poor fit.
Here, the coefficient of determination of quadratic model is higher than the linear mode.
Therefore, Quadratic model fits well for the given data.
g
To find the year when the model will reach 120 million.
Yes, it is possible if it is a quadratic model.
Given information:
Explanation:
For linear model,
With the help of the equation
On Substituting
It is observed that the values are negative for different values of
Therefore, this is a not good model for the data.
For quadratic model,
With the help of the equation
On Substituting
On Substituting
It is observed that the number of household with television reaches 120 million in the year 2012.
Therefore, Quadratic model is the best fit for the given data.
Chapter 2 Solutions
Precalculus with Limits: A Graphing Approach
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