1. example 6
Voting
The table shows the percent of voting-age population who voted in presidential elections
for the years 1960–2004.
Graph the data points, representing the years from 1950 as x and the percent as y.
Find the quadratic model that is the best fit for the data.
Find the power model that is the best fit for the data.
Discuss the use of the two models to predict the percent voting after 2004.
Which type of function would give the better fit if a point were added giving the percent voting as 58.1 in 2008?
Year
Percent
1960
63.1
1984
53.1
1964
61.9
1988
50.1
1968
60.8
1992
55.1
1972
55.2
1996
49.1
1976
53.6
2000
51.3
1980
52.6
2004
55.3
Chapter 3.4
2009 PBLPathways

2. The table shows the percent of voting-age population who voted in presidential elections
for the years 1960–2004.
Graph the data points, representing the years from 1950 as x and the percent as y.
Find the quadratic model that is the best fit for the data.
Find the power model that is the best fit for the data.
Discuss the use of the two models to predict the percent voting after 2004.
Which type of function would give the better fit if a point were added giving the percent voting as 58.1 in 2008?
Year
Percent
1960
63.1
1984
53.1
1964
61.9
1988
50.1
1968
60.8
1992
55.1
1972
55.2
1996
49.1
1976
53.6
2000
51.3
1980
52.6
2004
55.3

3. The table shows the percent of voting-age population who voted in presidential elections
for the years 1960–2004.
Graph the data points, representing the years from 1950 as x and the percent as y.
Year
Percent
1960
63.1
1984
53.1
1964
61.9
1988
50.1
1968
60.8
1992
55.1
1972
55.2
1996
49.1
1976
53.6
2000
51.3
1980
52.6
2004
55.3

4. The table shows the percent of voting-age population who voted in presidential elections
for the years 1960–2004.
Graph the data points, representing the years from 1950 as x and the percent as y. x y 10
63.1 34
53.1 14
61.9 38
50.1 18
60.8 42
55.1 22
55.2 46
49.1 26
53.6 50
51.3 30
52.6 54
55.3

5. The table shows the percent of voting-age population who voted in presidential elections
for the years 1960–2004.
Graph the data points, representing the years from 1950 as x and the percent as y. y x

6. The table shows the percent of voting-age population who voted in presidential elections
for the years 1960–2004.
Find the quadratic model that is the best fit for the data. y x

7. The table shows the percent of voting-age population who voted in presidential elections
for the years 1960–2004.
Find the quadratic model that is the best fit for the data. y x

8. The table shows the percent of voting-age population who voted in presidential elections
for the years 1960–2004.
Find the power model that is the best fit for the data. y x

9. The table shows the percent of voting-age population who voted in presidential elections
for the years 1960–2004.
Find the power model that is the best fit for the data. y x

10. The table shows the percent of voting-age population who voted in presidential elections
for the years 1960–2004.
Discuss the use of the two models to predict the percent voting after 2004. y x

11. The table shows the percent of voting-age population who voted in presidential elections
for the years 1960–2004.
Discuss the use of the two models to predict the percent voting after 2004. y x

12. The table shows the percent of voting-age population who voted in presidential elections
for the years 1960–2004.
Discuss the use of the two models to predict the percent voting after 2004. y x

13. The table shows the percent of voting-age population who voted in presidential elections
for the years 1960–2004.
Which type of function would give the better fit if a point were added giving the percent voting as 58.1 in 2008? y x

14. The table shows the percent of voting-age population who voted in presidential elections
for the years 1960–2004.
Which type of function would give the better fit if a point were added giving the percent voting as 58.1 in 2008? y
(58, 58.1) x

15. The table shows the percent of voting-age population who voted in presidential elections
for the years 1960–2004.
Which type of function would give the better fit if a point were added giving the percent voting as 58.1 in 2008? y x