Sharp CE-125 - Page 36

11 9
I
x
I
6.9
I
7 .6 7.6 9 . 0 8. 1
6 . 5
6 . 4
6 . 9
y
1 2 1 0
9 5 6 15 1 4
1 2
E s ti mated va l u e
x = 7 ,
x = 8 ,
x = 7 . 5,
EXAMPLE
r e gre ss i o n coeff i cie nt ( y = ax + b)
a = S xy/ S x x
b = y - a x
r
c or r e l at i on coeffic i en t
S xx = "Lxi 2 - nx 2
S x y = "L x i y i -: n iy
S y y = "L y i 2 - ny 2
C = S xy/ ( n - 1) · · · · · · · · · · · cova ri anc e
CALCULATION
INSTRUCTIONS
1 . D a ta i nput (X; , Y ; ) .
2 . C o r rec t ion o f m i sta ke n d ata .
3. T h e cov a rianc e, co rr e l at i o n co e ffici e nt , regr ess i on coeffic i e n t s and mean s a r e
fou n d a n d out put t o t h e pr i nt e r.
4. Y is e s t i m a t e d fr o m t h e X v a l u e and out pu t to the p r i nt e r .
5 . Th e l i m it fo r th e nu mbe r of d ata e ntr i e s is 100 .
OVERVIE W (S t a t is t i c s )
D ata i s fo r an a l y s i s a nd t e sti n g hyp othe ses.
T h i s p rog r a m fi n ds t h e co var i a n ce and co r re l atio n c o efficient for r e l a t ed d a t a
s ets ( x r. Y 1 ) . · · (Xn, Yn ) , a s well as t h e li n ear reg r e s sio n .
T h e fo ll owing data i np ut is p ut in to t he e q uatio n Y = AX + B , for ou t p ut to
t he p r i n te r .
Pr ogram Titl e : CORRELATION COE FFIC I ENT AND LINE A R
RE GR E SS I ON
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