Sharp el-9950 - Page 165

164
Chapter 8: Statistics & Regression Calculations
12 Rg_x
–1
Rg_x
–1
(list name for x, list name for y [, frequency list] [,
equation name to store])
Findstheregressioncurveusingthereciprocalfunction.(reciprocal
regression)
Formula:y=a
+
bx
-
1
Parameters:a,b,r,r
2
13 Rg_ax
b
Rg_ax
b
(list name for x, list name for y [, frequency list] [,
equation name to store])
Findstheregressioncurveusingthepowerfunction.(power
regression)
Formula:y=ax
b
Parameters:a,b,r,r
2
14 Rg_logistic Rg_logistic (list name for x, list name for y [, frequency list] [,
equation name to store])
Findstheregressioncurveusingthelogisticfunction.(logistic
regression)
Formula:y=c
÷
(1
+
ae
-
bx
)
Parameters:a,b,c
15 Rg_sin Rg_sin ([iterations,] list name for x, list name for y [, frequency
list] [, period] [, equation name to store])
Findstheregressioncurveusingthesinefunction.
The calculator will fit a sine curve for unequal and equal spacing.
Formula:y=asin(bx
+
c)
+
d
Parameters:a,b,c,d
Note: The default iterations value is 3. The user may specify the value up
to 25. To raise the accuracy, set the iterations value to 25 and enter
2
π
/btotheperiod,whereb=resultobtainedfromthecalculation
beforehand.