163
Chapter 8: Statistics & Regression Calculations
06 Rg_x
3
Rg_x
3
(list name for x, list name for y [, frequency list] [,
equation name to store])
Finds the regression line using the third degree polynomial. (cubic
regression)
Formula: y = ax
3
+
bx
2
+
cx
+
d
Parameters: a, b, c, d, R
2
07 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
08 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
09 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. (common
logarithm regression)
Formula: y = a
+
b log x
Parameters: a, b, r, r
2
10 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
11 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