Nyob rau hauv txoj kev xav txog qhov tshwm sim, qhov kev cia siab, qhov kev cia siab ntawm tus nqi, lossis lub ntsiab lus ntawm qhov sib txawv ntawm qhov sib txawv yog nws qhov kev xav tau - tus nqi nws yuav siv "qhov nruab nrab" tshaj li qhov tshwm sim loj heev - muab qhov tseeb. teeb ntawm "cov xwm txheej" paub tias tshwm sim.
Koj pom qhov txhais tau li cas?
Qhov kev cia siab (tseem hu ua qhov kev cia siab lossis tus nqi xav tau) tsuas yog qhov txhais tau tias, suav tom qab txheej txheej ua ntej tau tshwm sim.
Kauj Ruam 2: Faib txhua tus nqi hauv X=1 kem los ntawm tag nrho los ntawm Kauj Ruam 1:
- 0.03 / 0.49=0.061.
- 0.15 / 0.49=0.306.
- 0.15 / 0.49=0.306.
- 0.16 / 0.49=0.327.
Tus nqi txhais tau li cas hauv kev thim rov qab?
Yog tias koj saib ntawm ib phau ntawv qhia txog kab rov tav, koj yuav pom tias nws hais cov hauv qab no: "Linear regression kwv yees qhov kev xav tau ntawm cov lus teb hloov pauv" Qhov no txhais tau tias, rau qhov muab tus nqi ntawm tus kwv yees sib txawv X, linear regression yuav muab rau koj tus nqi nruab nrab ntawm cov lus teb sib txawv Y.
Koj txhais li cas los ntawm kev txhais tau tias?
1: raug, hais, lossis nyob ntawm qhov xwm txheej ib qho kev cog lus. 2: expressing, muaj, lossis hais txog qhov kev xav ntawm nqe lus yog tias nws hais. 3a: muaj tseeb tsuas yog rau qee qhov txiaj ntsig ntawm qhov sib txawv lossis cov cim cuam tshuam nrog cov lej sib npaug.
Txoj cai txhais li cas hauv kev txheeb cais?
Qhov xwm txheej tshwm sim yog hais txog rau qhov muaj feem uas qee qhov tshwm sim tshwm sim vim tias lwm qhov xwm txheej kuj tau tshwm sim. Nws feem ntau hais raws li qhov tshwm sim ntawm B muab A thiab sau ua P (B | A), qhov tshwm sim ntawm B nyob ntawm qhov tshwm sim A.
