I have a question concerning one detail - On 5 Dec 2001 10:04:38 -0800, [EMAIL PROTECTED] (Dennis Leitner) wrote: > [ ... ] To use multiple regression > you need to code the independent variables: Gender has 2 level; so > there needs to be 1 coded vector. SES has 3 levels so you need 2 coded > vectors. And then there will be 2 coded vectors for the interaction. A > total of 5 vectors. So far so good. Most of you did that. But then to > test for the Gender Effect you need to get the R-squared (or SS) from a > FULL MODEL with all 5 vectors and a RESTRICTED MODEL leaving out the > Gender Variable (so only 4 vectors remain). And THEN you use THE F > formula (R-squared full - R-sqaured restricted etc) to calculate the F. > You cannot read the F from the printout because it is NOT over and > above. [ ... ]
I know, I can't be sure, since I don't have any version of the Q and A or printout in hand. But I can't imagine what else is being discussed.... The F-test on a 1-df hypothesis is given in ANOVA or Regression by the test on the difference in R-squared two models. And that is EXACTLY the same as the F-test on the beta in the fuller model; that was (after all) a partial-beta. What am I missing? -- Rich Ulrich, [EMAIL PROTECTED] http://www.pitt.edu/~wpilib/index.html ================================================================= Instructions for joining and leaving this list and remarks about the problem of INAPPROPRIATE MESSAGES are available at http://jse.stat.ncsu.edu/ =================================================================
