LINEAR INTERCEPT SD
Name:
LINEAR INTERCEPT SD (LET)
Type:
Purpose:
Compute the standard deviation of the intercept parameter from a
linear least squares fit between two variables.
Syntax:
LET <par> = LINEAR INTERCEPT SD <y> <x>
<SUBSET/EXCEPT/FOR qualification>
where <y> is dependent response variable;
<x> is the independent response variable;
<par> is a parameter where the linear intercept sd value
is saved;
and where the <SUBSET/EXCEPT/FOR qualification> is optional.
Examples:
LET A1 = LINEAR INTERCEPT SD Y X
LET A1 = LINEAR INTERCEPT SD Y X SUBSET X > 1
Note:
Dataplot's built-in statistics can be used with a number of
commands. For details, enter HELP
STATISTIC.
Default:
Synonyms:
Related Commands:
LINEAR INTERCEPT
|
= Compute the intercept from a linear least squares fit.
|
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 RESSD
|
= Compute the residual standard deviation 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 INTERCEPT SD Y X
A value of 1.1257 is returned.
Program 2:
SKIP 25
READ BERGER1.DAT Y X BATCH
.
LABEL CASE ASIS
TITLE CASE ASIS
Y1LABEL SD of Linear Intercept
X1LABEL Batch
TITLE Linear Intercept SD Plot
CHARACTER X BLANK
LINE BLANK SOLID
TIC OFFSET UNITS SCREEN
TIC MARK OFFSET 3 3
LINEAR INTERCEPT SD PLOT Y X BATCH
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Date created: 09/08/2010
Last updated: 11/16/2015
Please email comments on this WWW page to
alan.heckert@nist.gov.
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