**Sociology
405/805**

**Assignment
6 Multiple Regression**

** **

**Due
Friday, March 24, 2000**

Use the 703.sav data file to obtain a multiple regression with V4, Tax
laws and job benefits should recognize gay and lesbian couples as married, as
the dependent variable. This question
is coded from 1 (strongly disagree) to 5 (strongly agree). Among the attitude variables in question 15
of the Survey of Student Attitudes and Experiences, this is the one that has
the greatest variability.

In carrying out this regression, select at least three independent
variables that you hypothesize might affect V4 and include these in the
equation. You might use the means
procedure to identify variables that have somewhat different mean values of V4
for different categories of these independent variables. However, the independent variables should
also be selected because they might reasonably be expected to have an influence
on V4. For example, religious or
spiritual values (question 41) might be expected to have a greater connection
than might attitude toward personal safety on campus (question 19). That is, use some sociologically reasonable
ad hoc hypothesizing to select independent variables.

If some of the independent variables have only a nominal scale of
measurement, you will have to construct dummy variables for the various
categories of these, so that you may ultimately have more than three
independent variables. (Remember that
if you do this, there must be one dummy variable, with values 0 and 1, for each
category of the nominal scale, but with one less such variable than the number
of categories). If some of the
variables are measured on an ordinal scale, they may be included as independent
variables. However, if they are really
representing interval level measurements, but coded only at the ordinal level,
convert them to interval level by recoding (e.g., code income as 1=10, 2=30,
etc. so the new codes represent income in thousands of dollars yearly
income).

You may want to provide more than one regression, showing what you
regard as less and more successful regressions.

For one of the regression equations outline and comment on the
following in words:

·
The hypotheses.

·
The test of significance for each regression coefficient and for the
equation as a whole.

·
How well the regression equation fits the data.

·
Your overall interpretation of the results.

·
Any violation of assumptions that may exist.

·
Also describe any transformations of variables e.g. how you obtained
the dummy variables or how the variables were recoded.

If you have more than one regression equation, summarize the results of
the other equations in shorter paragraphs.