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Ex r. Actually, the mathematical derivation of E(X) is kind of tricky Let's try another indirect path first Assume we have a negative binomial random variable, namely, mathY/math, follows negative binomial distribution with parameter mathr/math. 31 Least squares in matrix form E Uses Appendix –, A6, 311 Introduction More than one explanatory variable In the foregoing chapter we considered the simple regression model where the dependent variable is related to one explanatory variable. 9 8 7 6 5 4 3 2 1 0 / , * ) ( ' & % $ # " !.

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R NË Ës ã ¼ x X ãs Ú ® âD O x X ã 6 ü üÞ x X x X Ä®Þ X XOÞ 6 Ës ã x ËOs ã ü x ã ¼ ¼ x Ë ü NN » Ës ã x 6 üÞ x X X_ üÌs ü Ës ü Ns X ü x¯ NN » s Ç Þ ü t Þ X Ës ã x 6 üÞ x X Å Û ®sE Ë Ë t á ß à è. ¼ï¼éWhyš}›,ªè›¡s«¨œ isn ’½qmplete“@know›Pž‘iŸ˜pp·Ðž²b­y“ˆd‚Q™Yâyíut­zžÑ®@nœEplžkeyòolœà›Øsuppº@¢ çrowtºpn â‰ÙsystemãellsÔB‚çkeep¡Šƒ —id¢Àifi˜ˆas ¨„ª˜i>™ð S‚˜‹˜ŒXsymptom‰pfŽ². § 5229Òulesándòegulationsæor€!m,åtc Chapt•H7 ÍISSINGÃHILDRENÉNFORMATIONÃLEAR€ðHOUSE Œy W¾Ði¿Ùmµ;Œ‡š ¾ ¾ ¾ ¾ 03½§½§½§½.