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From |
kokootchke <kokootchke@hotmail.com> |

To |
statalist <statalist@hsphsun2.harvard.edu> |

Subject |
st: How much of variation in dep var is explained by various sets of variables? |

Date |
Sat, 3 Apr 2010 20:35:03 -0400 |

Dear all, I would like to know if it's possible to determine how much of the variation in the dependent variable is explained by different sets of variables. For instance, suppose I have: (1) y = a*x1 + b*x2 + c*x3 + d*z1 + d*z2 + d*z3 + d*z4 (2) y = e*x1 + f*x2 + g*x3 (3) y = h*z1 + i*z2 + j*z3 + k*z4 If I run these regressions by OLS, I obtain, say, R-sq = 0.30, 0.20, 0.15, respectively. Is it possible to determine what percentage of the variation in y in (1) is explained by the x's and what percentage is explained by the z's? I read some of the threads on this issue and I found some notes on partial correlation and the -pcorr- command. I read Richard Williams's notes and it seems like you can determine the proportion of the variation in y focusing on one variable at a time... but I don't know if it's possible to do it by sets of variables. Thank you very much for your help. Best, Adrian _________________________________________________________________ The New Busy is not the old busy. Search, chat and e-mail from your inbox. http://www.windowslive.com/campaign/thenewbusy?ocid=PID28326::T:WLMTAGL:ON:WL:en-US:WM_HMP:042010_3 * * For searches and help try: * http://www.stata.com/help.cgi?search * http://www.stata.com/support/statalist/faq * http://www.ats.ucla.edu/stat/stata/

**Follow-Ups**:**st: R: How much of variation in dep var is explained by various sets of variables?***From:*"Carlo Lazzaro" <carlo.lazzaro@tiscalinet.it>

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