User Guide

231
Additional St a
tistical Procedures
E
Select Age in years (age), Number of people in household (reside),andYears with
current employer (employ) and move them to the Independent(s) list.
E Click OK to run the procedure.
The output co
ntains goodness-of-fit statistics and the partial regression coefficients
for the variables.
Examining fit. To see how well the regression model fits your data, you can examine
the residua
ls and other types of diagnostics that this procedure provides. In the Linear
Regression dialog box, click
Save to see a list of the new variables that you can add to
your data file. If you generate any of these variables, they will not be available in a
later sess
ion unless you save the data file.
Methods. If you have collected a large number of independent variables and want to
build a regression model that includes only variables that are statistically related to the
dependent
variable, you can select a method from the drop-down list. For example, if
you select
Stepwise in the above example, only variables that meet the criteria in the
Linear Regression Options dialog box are entered in the equation.
Nonparametric Tests
The Nonparametric Tests submenu on the Analyze menu provides nonparametric tests
for one sample or for two or more paired or independent samples. Nonparametric
tests do
not require assumptions about the shape of the distributions from which
thedataoriginate.
Chi-Squ
are
The Chi-
Square Test procedure is used to test hypotheses about the relative proportion
of cases falling into several mutually exclusive groups. You can test the hypothesis
that people who participated in the survey occur in the same proportions of gender
as the g
eneral population (50% males, 50% females).
In this example, you will need to recode the string variable Gender (gender) into
a numeric variable before you can run the procedure.