Casio fx-9860G SD - Manual (Page 304)

20050401
• Linear Regression ... MSe =
Σ
1
n – 2
i =1
n
(y
i
– (ax
i
+ b)) 2
• Quadratic Regression ... MSe =
Σ 1
n – 3
i =1
n
(y
i
– (ax
i
+ bx
i
+ c)) 2 2
• Cubic Regression ... MSe =
Σ 1
n – 4
i =1
n
(y
i
– (ax
i
3 + bx
i
+ cx
i
+d )) 2 2
• Quartic Regression ... MSe =
Σ 1
n – 5
i =1
n
(y
i
– (ax
i
4 + bx
i
3 + cx
i
+ dx
i
+ e)) 2 2
• Logarithmic Regression ... MSe =
Σ 1
n – 2
i =1
n
(y
i
– (a + b ln x
i
)) 2
• Exponential Repression ... MSe =
Σ 1
n – 2
i =1
n
(ln y
i
– (ln a + bx
i
)) 2
• Power Regression ... MSe =
Σ 1
n – 2
i =1
n
(ln y
i
– (ln a + b ln x
i
)) 2
• Sin Regression ... MSe =
Σ 1
n – 2
i =1
n
(y
i
– (a sin (bx
i
+ c) + d )) 2
• Logistic Regression ... MSe =
Σ 1
n – 2 1 + ae -bx i
C
i =1
n
y
i
–
2
u u u u u Estimated Value Calculation for Regression Graphs
The STAT mode also includes a Y-CAL function that uses regression to calculate the
estimated
y -value for a particular x -value after graphing a paired-variable statistical
regression.
The following is the general procedure for using the Y-CAL function.
1. After drawing a regression graph, press !5(G-SLV)1(Y-CAL) to enter the graph
selection mode, and then press w.
If there are multiple graphs on the display, use f and c to select the graph you
want, and then press w.
• This causes an x -value input dialog box to appear.
6-4-4
Performing Statistical Calculations