HP 50g Graphing, 48gII Graphing Predv, Predx, …µPR1, Object, OLDPRT, PRLCD, PRST, PRSTC, Prvar

Access:	…µPR1
Flags:	I/O Device (–33), Printing Device (–34), Doublespa ced Printing (–37), Linefeed (–38), I/O
	Device for Wire (–78). If flag –34 is set, flag –33 must be clear.
Input/Output:
		Level 1/Argument 1		Level 1/Item 1
		object	→	object
	CR, DELAY,
See also:		OLDPRT, PRLCD, PRST, PRSTC, PRVAR
PREDV	Command
Type:
Description:	Predicted yValue Command: Returns the predicted d ependentvariable value ydependent, based on
	the independentvariable value xindependent, the currently selected statistical model, and the current
	regression coefficients in the reserved variable ΣPAR.
	PREDV is the same as PREDY. See PREDY.
Access:	…µPREDV
Input/Output:
		Level 1/Argument 1		Level 1/Item 1
		xindependent	→	ydependent
See also:	PREDY
PREDX	Command
Type:
Description:	Predicted xValue Command: Returns the predicted i ndependentvariable value xindependent, based
	on the dependentvariable value ydependent, the currently selected statistical model, and the current
	regression coefficients in the reserved variable ΣPAR.
	The value is predicted using the regression coefficients most recently computed with LR and
	stored in the reserved variable ΣPAR. For the linear statistical model, the equation used is this:
		ydependent = (mxindependent) + b
	where m is the slope (the third element in ΣPAR) and b is the intercept (the fourth element in
	ΣPAR).
	For the other statistical models, the equations used by PREDX are listed in the LR entry.
	If PREDX is executed without having previously generated regression coefficients in ΣPAR, a
	default value of zero is used for both regression coefficients, and an error results.
Access:	…µPREDX
Input/Output:
		Level 1/Argument 1		Level 1/Item 1
		ydependent	→	xindependent
	Given five
Example:		columns of data in ΣDAT, the command sequence:

2 XCOL 5 YCOL LOGFIT LR 23 PREDX

sets column 2 as the independent variable column, sets column 5 as the dependent variable column, and sets the logarithmic statistical model. It then executes LR, generating intercept and slope regression coefficients, and storing them in ΣPAR. Then, given a dependent value of 23, it returns a predicted independent value based on the regression coefficients and the statistical model.

See also: COLΣ, CORR, COV, EXPFIT, ΣLINE, LINFIT, LOGFIT, LR, PREDY, PWRFIT, XCOL,

YCOL

3176 Full Command and Function Reference