Sharp EL-9900 - Manual (Page 172)

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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 2 π/b to the period, where b = result obtained from the
calculation beforehand.