Sharp EL-9900 - Manual (Page 171)

161
Chapter 10: Statistics & Regression Calculations
06 Rg_x 4 Rg_x 4 (list name for x, list name for y [, frequency list] [,
equation name to store])
Finds the regression curve using the fourth degree polynomial.
(quartic regression)
Formula: y = ax 4 + bx 3 + cx 2 + dx + e
Parameters: a, b, c, d, e, R 2
07 Rg_ln Rg_ln (list name for x, list name for y [, frequency list] [,
equation name to store])
Finds the regression curve using the natural logarithm. (natural
logarithm regression)
Formula: y = a + b ln x
Parameters: a, b, r, r 2
08 Rg_log Rg_log (list name for x, list name for y [, frequency list] [,
equation name to store])
Finds the regression curve using the common logarithm. (com-
mon logarithm regression)
Formula: y = a + b log x
Parameters: a, b, r, r 2
09 Rg_ab x Rg_ab x (list name for x, list name for y [, frequency list] [,
equation name to store])
Finds the regression curve using the exponential function.
(exponential regression)
Formula: y = ab x
Parameters: a, b, r, r 2
10 Rg_ae bx Rg_ae bx (list name for x, list name for y [, frequency list] [,
equation name to store])
Finds the regression curve using the Euler exponential function.
(Euler exponential regression)
Formula: y = ae^bx
Parameters: a, b, r, r 2
145_182_chapter10_en 02.8.23, 2:15 PM 161