Uchambuzi wa Regresheni nyingi
Uchambuzi wa regresheni nyingi ni njia ya takwimu kwa kuunda uhusiano kati ya kigezo tegemezi kinachoendelea na vigezo huru viwili au zaidi (watabiri). Ukiibuka kutoka kwa kazi ya mapema ya karne ya 19 ya Gauss na kuimarishwa na Draper na Smith (1966), unakadiria milinganyo ya mstari inayotabiri matokeo kutoka kwa watabiri wengi huku ukizingatia uhusiano wa kuchanganya, na kuufanya kuwa muhimu katika taaluma ya magonjwa, uchumi, saikolojia, na utafiti wa kimatibabu.
Soma mbinu kamili
Ingia kwa akaunti ya bure ili kusoma sehemu hii.
Method map
The neighbourhood of related methods — select a node to explore.
Vyanzo
- Draper, N. R., & Smith, H. (1966). Applied Regression Analysis. John Wiley & Sons. link ↗
- Cohen, J., Cohen, P., West, S. G., & Aiken, L. S. (1992). Applied Multiple Regression/Correlation Analysis for the Behavioral Sciences (2nd ed.). Lawrence Erlbaum. link ↗
- Marquardt, D. W. (1980). You should standardize the independent variables in your regression models. Discussion of a paper by G. David Knottnerus. Journal of the American Statistical Association, 75(369), 87–91. link ↗
Jinsi ya kunukuu ukurasa huu
ScholarGate. (2026, June 4). Multiple Linear Regression. ScholarGate. https://scholargate.app/sw/research-statistics/multiple-regression-analysis
Which method?
Set this method beside its closest kin and read them side by side — the library lays the books on the table; the choice is yours.
- Analysis of Variance (ANOVA)Takwimu za Utafiti↔ compare
- Factor AnalysisTakwimu za Utafiti↔ compare
- Regresheni ya LogistikiTakwimu za Utafiti↔ compare
- Uchanganuzi wa Kimuundo wa Milongozo (SEM)Takwimu za Utafiti↔ compare
Imerejelewa na
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