Application Guide

Output variable Description
stat.RegEqn
Regression equation: a + b•x
stat.t
t-Statistic for significance test
stat.PVal Smallest level of significance at which the null hypothesis can be rejected
stat.df Degrees of freedom
stat.a, stat.b Regression coefficients
stat.s Standard error about the line
stat.SESlope Standard error of slope
stat.r
2
Coefficient of determination
stat.r Correlation coefficient
stat.Resid Residuals from the regression
linSolve()
Catalog >
linSolve(SystemOfLinearEqns, Var1,
Var2, ...) ⇒ list
linSolve(LinearEqn1 and LinearEqn2 and
..., Var1, Var2, ...) ⇒ list
linSolve({LinearEqn1, LinearEqn2, ...},
Var1, Var2, ...) ⇒ list
linSolve(SystemOfLinearEqns, {Var1,
Var2, ...}) ⇒ list
linSolve(LinearEqn1 and LinearEqn2 and
..., {Var1, Var2, ...}) ⇒ list
linSolve({LinearEqn1, LinearEgn2, ...},
{Var1, Var2, ...}) ⇒ list
Returns a list of solutions for the variables
Var1, Var2, ...
The first argument must evaluate to a
system of linear equations or a single linear
equation. Otherwise, an argument error
occurs.
For example, evaluating linSolve(x=1
and x=2,x) produces an “Argument
Error” result.
Alphabetical Listing 103