LINEAR RESSD
Name:
Type:
Purpose:
Compute the residual standard deviation from a linear least squares
fit between two variables.
Syntax:
LET <par> = LINEAR RESSD <y> <x>
<SUBSET/EXCEPT/FOR qualification>
where <y> is dependent response variable;
<x> is the independent response variable;
<par> is a parameter where the residual sd value is
saved;
and where the <SUBSET/EXCEPT/FOR qualification> is optional.
Examples:
LET A1 = LINEAR RESSD Y X
LET A1 = LINEAR RESSD Y X SUBSET X > 1
Note:
Dataplot's builtin statistics can be used with a number of
commands. For details, enter HELP
STATISTIC.
Default:
Synonyms:
Related Commands:
LINEAR SLOPE

= Compute the slope parameter from a linear least squares
fit.

LINEAR SLOPE SD

= Compute the standard deviation of the slope parameter
from a linear least squares fit.

LINEAR INTERCEPT

= Compute the intercept from a linear least squares fit.

LINEAR INTERCEPT SD

= Compute the standard deviation of the intercept parameter
from a linear least squares fit.

LINEAR CORRELATION

= Compute the correlation from a linear least squares fit.

Applications:
Exploratory Data Analysis
Implementation Date:
Program 1:
SKIP 25
READ BERGER1.DAT Y X
LET A = LINEAR RESSD Y X
The value 6.0809 is returned.
Program 2:
SKIP 25
READ BERGER1.DAT Y X BATCH
.
LABEL CASE ASIS
TITLE CASE ASIS
Y1LABEL Residual Standard Deviation
X1LABEL Batch
TITLE Linear RESSD Plot
CHARACTER X BLANK
LINE BLANK SOLID
TIC OFFSET UNITS SCREEN
TIC MARK OFFSET 3 3
LINEAR RESSD PLOT Y X BATCH
Date created: 9/8/2010
Last updated: 9/8/2010
Please email comments on this WWW page to
alan.heckert@nist.gov.