Dataplot Vol 2 Vol 1

# LINEAR INTERCEPT SD

Name:
LINEAR INTERCEPT SD (LET)
Type:
Let Subcommand
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:
None
Synonyms:
None
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:
2010/07
Program 1:
```
SKIP 25
LET A = LINEAR INTERCEPT SD Y X
```
A value of 1.1257 is returned.
Program 2:
```
SKIP 25
.
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