Sharp el-9950 Manual page 164

3 3
06 Rg_x Rg_x (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
Parameters: a, b, c, d, R
4 4
07 Rg_x Rg_x (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
Parameters: a, b, c, d, e, R
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
Parameters: a, b, r, r
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
Parameters: a, b, r, r
x x
10 Rg_ab Rg_ab (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
Parameters: a, b, r, r
bx bx
11 Rg_ae Rg_ae (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
Parameters: a, b, r, r
Chapter 8: Statistics & Regression Calculations
3 2
+ + +
bx cx d
2
4 3 2
+ + + +
bx cx dx e
2
+
b ln x
2
+
b log x
2
x
2
bx
2
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