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Dataplot Vol 1 Auxiliary Chapter

LINEAR RESSD

Name:
    LINEAR RESSD (LET)
Type:
    Let Subcommand
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 built-in statistics can be used with a number of commands. For details, enter HELP STATISTIC.
Default:
    None
Synonyms:
    None
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:
    1988/3
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
        
    plot generated by sample program

Date created: 9/8/2010
Last updated: 9/8/2010
Please email comments on this WWW page to alan.heckert@nist.gov.