Drexel dragonThe Math ForumDonate to the Math Forum

Search All of the Math Forum:

Views expressed in these public forums are not endorsed by Drexel University or The Math Forum.

Math Forum » Discussions » sci.math.* » sci.stat.math.independent

Topic: Multiple regression with all dummy variables
Replies: 7   Last Post: Feb 15, 2013 4:17 PM

Advanced Search

Back to Topic List Back to Topic List Jump to Tree View Jump to Tree View   Messages: [ Previous | Next ] Topics: [ Previous | Next ]
Bruce Weaver

Posts: 751
Registered: 12/18/04
Re: Multiple regression with all dummy variables
Posted: Dec 12, 2012 11:06 AM
  Click to see the message monospaced in plain text Plain Text   Click to reply to this topic Reply

On 11/12/2012 7:10 PM, Bruce Weaver wrote:
> On 11/12/2012 5:22 PM, Gary wrote:
>> On Tuesday, 11 December 2012 20:20:48 UTC+2, paul wrote:
>>> Does a multiple regression with all dummy (indicator) variables make
>>> sense? I work at a state university tutoring various basic subjects

> --- snip ---
>>> Thanks for any help!

>> I think you can find some of the argument in
>> Cohen, J. (1968). Multiple regression as a general data-analytic
>> system. Psychological Bulletin, 70, 426-443.
>> Also Cohen's famous textbook.
>> Lance

> See also Judd & McClelland's book "Data Analysis: A Model Comparison
> Approach" if you can find a copy.
> http://psych.colorado.edu/~mcclella/statistics.html

Oops...I also meant to comment on this bit from the OP:

"But the students are then told that the multiple regression gives more
information since we can conclude from the t-tests on individual
coefficients that silver cars sell for more than the base case (black.)"

Most ANOVA programs have various methods for making pair-wise
comparisons, and many of them could make the same set of comparisons
captured by the t-tests in the table of regression coefficients. In the
case where each of k-1 treatments is compared to a control group, many
experimentalists would probably use Dunnett's test, which was designed
for that situation.

The point is that the ANOVA program *can* give just as much information
(and more) than the info captured by the regression coefficients.


Bruce Weaver
"When all else fails, RTFM."

Point your RSS reader here for a feed of the latest messages in this topic.

[Privacy Policy] [Terms of Use]

© The Math Forum 1994-2015. All Rights Reserved.