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