Example : Using the x-data values input in the example on page 20, determine the normalized variate (t) for x = 53 and normal probability distribution P(t).

53 A D4 (t) = -0.284747398

A D1 ( P( ) -0.28 F= 0.38974

kRegression Calculations (REG Mode)

Press F F 2 to enter the REG mode and then se-lect one of the following regression types. 1: Linear regression2: Logarithmic regression3: Exponential regressionr1: Power regressionr2: Inverse regressionr3: Quadratic regressionData input always starts with A m= to clear statisti- cal memory.

The values produced by a regression calculation depend on the values input, and results can be recalled using the key operations shown in the table below.

0 G

Σx2

A N

xσn-1

0 H

Σx

A l

p

0 k

n

A d

yσn

0 h

Σy2

A c

yσn-1

0 n

Σy

A q

Regression coefficient A

0 o

Σxy

A w

Regression coefficient B

0 M

Σx3

A e

Regression coefficient C

0 x

Σx2y

A u

Correlation coefficient r

0 y

Σx4

A O

m

A M

o

A b

n

A A

xσn

 

 

 

 

 

 

• Linear Regression

The regression formula for linear regression is: y  A  Bx.
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