Casio 3950P User's Guide download pdf (Page 33)

E-31

xi yi

29 1.6

50 23.5

74 38.0

103 46.4

118 48.0

u Quadratic Regression

•The regression formula for quadratic regression is: y = A + Bx + Cx

• Example:

Perform quadratic regression to determine the regression

formula terms for the data nearby. Next, use the

regression formula to estimate the values for n

(estimated value of y) for xi = 16 and m (estimated value

of x) for yi = 20.

In the REG Mode:

(Quad)

A B 1

(Scl) < (Stat clear)

29 P 1.6 S 50 P 23.5 S

74 P 38.0 S 103 P 46.4 S

118 P 48.0 S

Regression Coefficient A =

–35.59856934

A X r r 1 <

Regression Coefficient B =

1.495939413

A X r r 2 <

Regression Coefficient C =

–

6.71629667

–3

A X r r 3 <

n when xi is 16 =

–13.38291067

16 A X r r r 3 <

m1 when yi is 20 =

47.14556728

20 A X r r r 1 <

m2 when yi is 20 =

175.5872105

20 A X r r r 2 <

•After inputting data, you can perform the key operations that calcutate

statistical results (regression coefficients, n, m

, etc.) in any order. You do

not need to follow the order shown above.

Data Input Precautions

•To input the same data twice:

<x-data>

<y-data>

S S

•To input multiple entries of the same data by specifying the “frequency”:

<x-data>

<y-data>

A G

Example: To input the data X = 20, Y = 30 five times

20 P 30 A G 5 S

•Precautions when editing data input for standard deviation also apply for

regression calculations.

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Casio 3950P User's Guide Page 33

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