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| t-stat = coefficient/std-error | |
| |t-stat| > t-crit => prob < 0.05 => statistic semnificativ | |
| F-stat = (R^2/k)/(1-R^2)(n-k-1) (k = nr variabile explicative, n = nr observatii) | |
| F-stat > F-crit => model valid global pt un nivel de semnificatie de 5% | |
| R^2 = coeficient de determinare, ex: R^2 = 0.7 => modelul explica 70% din rezultat, restul de 30% sunt variabile pe care modelul nu le ia in calcul | |
| Interval incredere = valoarea coeficientului +- tcrit * eroare standard | |
| Tabelul Variance Inflation Factors (Eviews) | |
| variance inflation factors = tabel de verificare coliniaritate | |
| vif < 5 => nu e coliniaritate | |
| vif > 5 => coliniaritate moderata => coeficientul poate fi afectat | |
| vif > 10 => coliniaritate servera => coeficientul e instabil, variabila trebuie eliminata | |
| Tabelul Heteroskedasticity Test: White (Eviews) | |
| homoscedascitate = variatia erorilor este constanta | |
| heteroscedascitate = variatia erorilor nu este constanta, deci rezultatele t-stat pot fi afectate. | |
| prob < 0.05 = heteroscedascitate | |
| prob > 0.05 = homoscedascitate |
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