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Chapter 19: Applications
249
19APPS.DOC   TI-86, Chap 19, US English   Bob Fedorisko   Revised: 02/13/01 2:41 PM   Printed: 02/13/01 3:05 PM   Page 249 of 18
19APPS.DOC   TI-86, Chap 19, US English   Bob Fedorisko   Revised: 02/13/01 2:41 PM   Printed: 02/13/01 3:05 PM   Page 249 of 18
�   Select 
TRACE
 from the 
GRAPH
 menu to display the stat plot and
trace cursor on the graph screen.
�   Trace the stat plot to approximate the value of 
POWER
 at
CURR=125
. With this statistical data, the closest to 
CURR=125
that you can trace to is 
CURR=120
 (on the y-axis).
�   Select 
INTER
 from the 
MATH
 menu to display the
interpolate
àextrapolate editor. To interpolate 
POWER
 at
CURR=125
, enter the nearest pairs:
x1=POWER(7)
y1=CURR(7)
x2=POWER(8)
y2=CURR(8)
�   Enter 
y=125
 and solve for 
x
.
쐅 On the home screen, select 
LinR
 from the 
STAT
 
CALC
 menu to fit
the linear regression model equation to the data stored to 
POWER
and 
CURR
. Write down the value of the result variable 
corr
.
쐈 Fit the logarithmic (
LnR
), exponential (
ExpR
), and power (
PwrR
) regressions to the data, writing
down the value of 
corr
 for each regression. Compare the 
corr
 values of each regression to
determine which model fits the data most accurately (the 
corr
 value closest to 
1
).
쐉 Execute the most accurate regression again, and then select
FCST
 from the 
STAT
 menu. To forecast 
POWER
 at 
CURR=125
,
enter 
y=125
 and solve for 
x
.
Compare this answer with the answer returned in step 9.
The 
7
s and 
8
s in parentheses
specify the 7th and 8th
elements of 
POWER
 and
CURR
.
To enter each regression
after 
LinR
, press  
-
 
¢
and edit as needed.