TM5-6675-326-14
8 - 6 . 1 2 . 4 S t a n d a r d D e v i a t i on
( 2 ) T h e s t a n d a r d d e v i a t i o n o f x v a l u e s (sx) i s c a l c u l a t e d
u s i n g d a t a a c c u m u l a t e d i n r e g i s t e r s R .2 (22), R .1 ,
(Xl), a n d R.0 ( n ) .
The result appears in displayed
X - r e g i s t e r.
( 3 ) T h e s t a n d a r d d e v i a t i o n o f y v a l u e s (sy) i s c a l c u l a t e d
u s i n g d a t a a c c u m u l a t e d i n r e g i s t e r s R.4 ( y2), R.3 ( y ) ,
a n d R .0 ( n ).
The result appears in Y-register.
Example:
To determine the standard
t e s t s c o r e s : 7 9 , 9 4 , 6 8,
press
Keystrokes
Display
0.0000
d e v i a t i o n o f t h e f o l l o w i n g
863 82, 78, 83, and 89,
C l e a r s t a t i s t i c a l r e g i s t e r s
and Y-register for new,
one-variable problem.
1.0000
2.0000
First score is entered.
Since this problem involves
only one variable, y-value
does not have to be entered
i n t o Y - r e g i s t e r u s i n g t h e
-] key.
Display shows number of
scores entered so far.
3.0000
4.0000
5.0000
6.0000
7.0000
8.0000
Last score in sample.
7.8365
Standard deviation of test scores.
8-6.12.5 Linear Regression .
Linear regression is a statistical method
f o r f i n d i n g a s t r a i g h t l i n e t h a t b e s t f i t s a s e t o f d a t a p o i n t s , t h u s
providing a relationship between two variables.
a .
To use the linear regression function, first key in a series
of data points using the ~ k e y.
Then press q LN.
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