10-87 Section 10.7 Parametric Equations and Graphs 1005
College Algebra & Trignometry—
of with an initial velocity of 80 ft/sec, and the
kick is “true,” will the home team win (does the
ball clear the 10-ft high cross bar)?
50. Particle motion: The motion of a particle is
modeled by the parametric equations
Between and is the
particle moving to the right or to the left? Is the
particle moving upward or downward?
51. Electron motion: The motion of an electron as it
orbits the nucleus is modeled by the parametric
equations with t in radians. Between
and is the electron moving to the right
or to the left? Is the electron moving upward or
downward?
Systems applications: Solve the following systems using
elimination. If the system is dependent, write the general
solution in parametric form and use a calculator to generate
several solutions.
52. 53.
54.
55. •
x y 5z 4
2y 3z 1
x 3y z 3
•
5x 3z 1
x 2y 2z 3
2x 6y 9z 10
•
x 5y z 3
5x y 7z 9
2x 3y 4z 6
•
2x y 3z 3
3x 2y z 4
8x 3y z 5
t 3,t 2
e
x 6 cos t
y 2 sin t
t 1,t 0e
x 5t 2t
2
y 3t 2
.
50 yards
(150 feet)
29° 56. Regressions and parameters:
Draw a scatter-plot of the data
given in the table. Note that
connecting the points with a
smooth curve will not result
in a function, so a standard
regression cannot be run on
the data. Now consider the
x-values alone—what do
you notice? Find a sinusoidal
model for the x-values, using
Use the
same inputs to run some form
of regression on the y-values, then use the results to
form the “best-fit” parametric equations for this
data (use L1 for T, L2 for the x-values, and L3 for
the y-values). With your calculator in parametric
, enter the equations as X
1T
and Y
1T
, then
graph these along with the scatterplot (L2, L3) to
see the finished result. Use the feature of
your calculator to comment on the accuracy of the
model.
57. Regressions and parameters:
Draw a scatter-plot of the data
given in the table, and connect
the points with a smooth curve.
The result is a function, but no
standard regression seems to
give an accurate model. The
x-values alone are actually
generated by an exponential
function. Run a regression
on these values using
as inputs
to find the exponential model.
Then use the same inputs to run some form of
regression on the y-values and use the results to
form the “best-fit” parametric equations for this
data (use L1 for T, L2 for the x-values, and L3 for
the y-values). With your calculator in parametric
, enter the equations as X
1T
and Y
1T
, then
graph these along with the scatterplot (L2, L3) to
see the finished result. Use the feature of
your calculator to comment on the accuracy of the
model.
TABLE
MODE
T 0, 1, 2, 3, . . . , 8
T 0, 1, 2, 3, . . . , 8.
xy
00
0.25
22
6.75
016
31.25
54
85.75
0 128
12
2
12
12
12
xy
10
1.2247
1.5
1.8371
2.25
2.7557
3.375
4.1335
5.0625 0
1.75
3
3.75
4
3.75
3
1.75
EXTENDING THE CONCEPT
58. What is the difference between an epicycloid, a
hypercycloid, and a hypocycloid? Do a word study
on the prefixes epi-, hyper-, and hypo-, and see
how their meanings match with the mathematical
figures graphed in Exercises 27 to 35. To what
other shapes or figures are these prefixes applied?
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