Sharp EL-9900 Operation Manual page 172

Chapter 10: Statistics & Regression Calculations
11 Rg_x –1
b
12 Rg_ax
13 Rg_logistic
14 Rg_sin
Note:
162
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
Parameters: a, b, r, r
b (list name for x, list name for y [, frequency list] [,
Rg_ax
equation name to store])
Finds the regression curve using the power function. (power
regression)
b
Formula: y = ax
Parameters: a, b, r, r
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
Parameters: a, b, c
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
Parameters: a, b, c, d
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.
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1
2
2
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+
ae bx )
+ +
c) d