135
Chapter 8: Statistics & Regression Calculations
06 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
07 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
08 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
09 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
10 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
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