(XTX)-1=110(29-4-13-44-2-13-211)=(2.9-0.4-1.3-0.40.4-0.2-1.3-0.21.1)open paren cap X to the cap T-th power cap X close paren to the negative 1 power equals one-tenth the 3 by 3 matrix; Row 1: 29, negative 4, negative 13; Row 2: negative 4, 4, negative 2; Row 3: negative 13, negative 2, 11 end-matrix; equals the 3 by 3 matrix; Row 1: 2.9, negative 0.4, negative 1.3; Row 2: negative 0.4, 0.4, negative 0.2; Row 3: negative 1.3, negative 0.2, 1.1 end-matrix; Paso 6: Calcular los coeficientes finales ( β̂beta hat Multiplicamos la matriz inversa por XTYcap X to the cap T-th power cap Y
10β2=60−13β1⟹β2=6−1.3β110 beta sub 2 equals 60 minus 13 beta sub 1 ⟹ beta sub 2 equals 6 minus 1.3 beta sub 1 Sustituimos este valor en la Ecuación B: regresion lineal multiple ejercicios resueltos a mano
(-26b0−182b1−135.2b2)+(26b0+156b1+194b2)=-4264+3780open paren negative 26 b sub 0 minus 182 b sub 1 minus 135.2 b sub 2 close paren plus open paren 26 b sub 0 plus 156 b sub 1 plus 194 b sub 2 close paren equals negative 4264 plus 3780 (XTX)-1=110(29-4-13-44-2-13-211)=(2
| i | Y | X₁ | X₂ | X₁² | X₂² | X₁X₂ | X₁Y | X₂Y | |---|-----|-----|-----|------|------|------|-------|-------| | 1 | 5.0 | 70 | 7.0 | 4900 | 49.0 | 490 | 350.0 | 35.0 | | 2 | 6.5 | 80 | 6.5 | 6400 | 42.25| 520 | 520.0 | 42.25 | | 3 | 7.0 | 85 | 7.5 | 7225 | 56.25| 637.5| 595.0 | 52.5 | | 4 | 8.0 | 90 | 6.0 | 8100 | 36.0 | 540 | 720.0 | 48.0 | | 5 | 9.0 | 95 | 8.0 | 9025 | 64.0 | 760 | 855.0 | 72.0 | | 6 | 8.5 | 88 | 7.2 | 7744 | 51.84| 633.6| 748.0 | 61.2 | | |44.0 | 508 | 42.2| 43394| 299.34| 3581.1| 3788.0 | 310.95 | Row 1: 29
). Aunque hoy en día los softwares estadísticos resuelven estos cálculos en milisegundos, entender el procedimiento matemático realizando los te dará una comprensión profunda del algoritmo y de la matriz de datos.