SOLUTIONS TO SELECTED ACTIVITIES
2.NUMERICAL DESCRIPTION OF A ONE-VARIABLE DATA SET
ADDITIONAL PROBLEMS
1.63.9, 6.1, 5.7, 575, 37033, 9, 55, ...
2.4.6, 3.7, 3.7, 205, 1545, 45, 1, ...
BLACKLINE MASTERS
ACTIVITY 1
4.16.3, 2.9, 2.7, 130, 2172, 8, 11, ...
ACTIVITY 2
5.3.48, 1.7, 100, yes
6.NUMERICAL DESCRIPTION OF A TWO-VARIABLE DATA SET
ADDITIONAL PROBLEMS
1.67, 4.8, 4.3, 335, 22539, 5, 62, ...
2.16.4, 1.2, 1.2, 1018, 16804, 62, 15, ...
BLACKLINE MASTER 6.3
ACTIVITY 1
3.15.75, 16.75
ACTIVITY 2
2.3.48, 3.48, yes
7.GRAPHICAL PORTRAYAL OF A TWO-VARIABLE DATA SET
ADDITIONAL PROBLEMS
1.Possible questions:
a.When does the per capita glass waste materials begin to decline?
b.What pattern does the per capita glass waste materials seem to follow?
c.Roughly estimate the per capita glass waste materials in the year 1990.
2.Possible questions:
a.At which participant’s age does the largest increase in time to walk the mile occur?
b. As the participant’s age increases, what happens to the time it takes the participant to walk one mile?
c.Roughly estimate the time a 72
BLACKLINE MASTER 7.3
ACTIVITY 1
5.increases
6.a line
7.136 pounds
8.LINEAR REGRESSIONS
ADDITIONAL PROBLEMS
1.y =
2.y = 1.006x - 1410.4
BLACKLINE MASTER 8.3
ACTIVITY 1
1.y=1.02x + 11.86
2..992
ACTIVITY 2
1.y=.03x + 41.858
2..0607
9.OTHER REGRESSIONS AND MODEL OF BEST FIT
ADDITIONAL PROBLEM
The best fitting regression model (excluding the cubic and quartic models because the addition of additional predictors will always increase r2) is the quadratic model of Y =
240.52with a r2 value of .6254. The remaining models and corresponding r values were:
exponential | .4997 |
natural exponential . | 4997 |
power | .4793 |
linear | .4788 |
natural log | .4601 |
base ten log | .4601 |
inverse | .4411 |
