LINEAR RESSD

LINEAR RESSD (LET)

Let Subcommand

Compute the residual standard deviation from a linear least squares fit between two variables.

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.

LET A1 = LINEAR RESSD Y X
LET A1 = LINEAR RESSD Y X SUBSET X > 1

Dataplot's built-in statistics can be used with a number of commands. For details, enter HELP STATISTIC.

None

None

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.

Exploratory Data Analysis

1988/03

 
SKIP 25
READ BERGER1.DAT Y X
LET A = LINEAR RESSD Y X
    

The value 6.0809 is returned.

 
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