Sharp EL-9900 - Page 172

162
Chapter 10: Statistics & Regression Calculations
11 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. (recipro-
cal regression)
Formula: y = a + bx
-
1
Parameters: a, b, r, r
2
12 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
13 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
14 Rg_sin Rg_sin ([iterations,] list name for x, list name for y [, fre-
quency 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 2π/b to the period, where b = result obtained from the
calculation beforehand.