HP 113394 User Guide - Page 98

Statistics Functions

Page 98 highlights

98 Section 6: Statistics Functions Example: Check the reliability of the linear estimate in the preceding example by displaying the correlation coefficient. Keystrokes Display ~ 0.90 The correlation coefficient is close to 1, so the sales calculated in the preceding example is a good estimate. To graph the regression line, calculate the coefficients of the linear equation y = A + Bx. 1. Press 0gR to compute the y-intercept (A). 2. To compute the slope of the line (B) in RPN mode, press 1gR~d~-. To compute the slope of the line (B) in ALG mode, press these keys: 1gR~d-~}. Example: Compute the slope and intercept of the regression line in the preceding example. Keystrokes (RPN mode) Display 0gR 1 gR~d~- 15.55 0.001 y-intercept (A); projected value for x = 0. Slope of the line (B); indicates the change in the projected values caused by an incremental change in the x value. Keystrokes (ALG mode) Display 0gR 15.55 1gR~d-~} 0.001 y-intercept (A); projected value for x = 0. Slope of the line (B); indicates the change in the projected values caused by an incremental change in the x value. The equation that describes the regression line is: y = 15.55 + 0.001x File name: hp 12c pt_user's guide_English_HDPMF123E27 Page: 98 of 275 Printed Date: 2005/8/1 Dimension: 14.8 cm x 21 cm

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98
Section 6: Statistics Functions
File name: hp 12c pt_user's guide_English_HDPMF123E27
Page: 98 of 275
Printed Date: 2005/8/1
Dimension: 14.8 cm x 21 cm
Example:
Check the reliability of the linear estimate in the preceding example by
displaying the correlation coefficient.
Keystrokes
Display
~
0.90
The correlation coefficient is close
to 1, so the sales calculated in the
preceding example is a good
estimate.
To graph the regression line, calculate the coefficients of the linear equation
y
=
A
+
Bx
.
1. Press 0
gR
to compute the
y-
intercept (
A
).
2. To compute the slope of the line (
B
) in RPN mode, press
1
gR~d~-
. To compute the slope of the line (
B
) in ALG mode,
press these keys: 1
gR~d-~}
.
Example:
Compute the slope and intercept of the regression line in the preceding
example.
Keystrokes
(RPN mode)
Display
0
gR
15.55
y-intercept (A); projected value for
x
= 0.
1
gR~d~-
0.001
Slope of the line (
B);
indicates the
change in the projected values
caused by an incremental change
in the
x
value.
Keystrokes
(ALG mode)
Display
0
gR
15.55
y-intercept (A); projected value for
x
= 0.
1
gR~d-~}
0.001
Slope of the line (
B);
indicates the
change in the projected values
caused by an incremental change
in the
x
value.
The equation that describes the regression line is:
y = 15.55 + 0.001x