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Statisticatcatcutation resutt in t4l S_SUM,
t5l S-VAR, t6l
S-PTS, [8] Reg
SD Type Statisticat Calculation Example:
I: f1"{:"-:x2,
fx, n, x=, xon, 1onl, minX, maxX of data: 75,
85, 90, 77,79 in SD mode (freq: OFp)
L I N E M O D E : S L 5 t I
Please use regression to estimate the effectiveness
(estimate
the value of y) if the advertisement expenses
X=SO, atso
estimate the advertisement expenses level (estimate
the value
of Xl, X2) if the effectiveness is y = 50.
LIN E MO DE: S' g
E
Quadratic Regression Type Statistical Galculation
Exampte:
ABC Company investigated the effectiveness
oi aOvertisement
expenses in coded units, the following data
was obtained:
I
After sample data is entered in either Statistic (SD)
or Regression
(REG) mode, you can perform the normal
OistriOLrttn or
probability distribution calcutation such
as p(t), a(t) and R(t) in
which t is the variate of the probabilistic experlmeni.
t = I , - x x
Xon
Xon
45
x
: Random variable
: Mean of sample
: Standard deviation
S-SUM
1 & 2 variable
STAT
Summation of all x2 value
Zrz
5 E E ]
Summation
of all x value
I
g @ E
2-variable
STAT only
Summation of all y2 value
Zv2
5 E E
Summation
of all y value
fv
g E E
Summation of xy pairs
fxv
5 @ E
Summation of all x3 value
rx3
g E E
Summation of all x2y pairs
Z*zy
5 E E
Summation of all x4 pairs
Zxa
5 E E
S.VAR
1 & 2
variable
STAT
Number of data samole
C 5 E E
Mean of the x values
X
g E E
Population standard deviation of x
Xon
C S E E
Sample Standard deviation of x
xoh-1
5 E E
2-variable
STAT only
Mean of the y values
v
& E C l
Population standard deviation of y
Yon
5 E E
Sample standard deviation of y
Yon- l
g E E
S-PTS
1 & 2 variable
STAT
Minimum value of X
minX
& E E
Maximum
value of X
maxX
e @ E
2-variable
STAT onty
Minimum value of y
minY
& E E
Maximum value of y
maxY
c 5 @ E
Reg
For non-Quad
Reg
Regression coefficient A
A
& t E E
Regression
coefficient
B
& E E
Correlation
coefficient r
& E E
Estimated value of x
s @ E
d value of y
5 E E
Reg
For Quad
Reg only
Regression
coefficient A
A
g E E
Regression coefficient B
C 5 E E
Regression coefficient C
c l
g E E
Estimated value of x1
i r l 5 @ @
Estimated value of x2
?2 1
J 5 E E
Estimated value of y
^ l
Y l
i 3 @ @
l : S D
Z : L i l 1
3 : Q u E d
4 ! L o s
?iF,Fn" E:iH".n"
E E E E E E E
@ E E t Z E E t r ]
@ 5 E M E
@ g @ E E
@ 5 t t E E
@ g E E E
@ g E E E
@ g E @ E
l : S t r
Z : L i n
F!E:FH"
HiFHi-"
E ] E E E E E E
@ E E E E E ] E
E O
O E E E E
@ E E E E @ @
E E t r ] E
Hl
-rll.iil
@ E @ 5 E @ E
@ E @ e 5 @ E E
@ t t @ g E E E
Advertisement expenses: X
1 8
35
40
2 1
1 9
Effectiveness: y (%)
38
54
59
40
38
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