2 rankings Vs player performance & player performance (age, gender, income).
Different gender might throw up surprises as in female tennis rankings, we see not much change
in one playing season where as in men's tennis it's fluctuating. Also, i would like to which age group reflects the prime of a tennis player and hence i've changed continuous variables to categorical.
Please advise
Thanks
-Dev
From: "Peter Flom" <[EMAIL PROTECTED]> To: <[EMAIL PROTECTED]> Subject: Re: [R] Regression Modeling query The first question is what you are trying to find out. What is your dependent variable? What are your hypotheses?
The second question is why you categorized continuous varaibles (age and income)? This is almost always a bad idea
Peter
Peter L. Flom, PhD Assistant Director, Statistics and Data Analysis Core Center for Drug Use and HIV Research National Development and Research Institutes 71 W. 23rd St www.peterflom.com New York, NY 10010 (212) 845-4485 (voice) (917) 438-0894 (fax)
>>> "devshruti pahuja" <[EMAIL PROTECTED]> 6/22/2004 4:25:30 PM >>> Hi All
I received a raw data set with one record per tennis player (both male and female) and then i cured it by aggregation i.e by 4 age groups, 2 gender levels and 6 income levels. Gender and Income are categorical variables. Please advise me how to use 'R' to model this data set (Actually, i want to know the right regression technique and steps to do that, including removing outliers at the begining and looking for hidden interactions).
Thanks
Warm Regards Dev
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