actividad 2.xlsx - x y Cantidad demanda da 740 623 710 831 809 793 783 756 818 868 725 8,456 768.727273 Periodo Jan-15 Feb-15 Mar-15 Apr-15 May-15

actividad 2.xlsx - x y Cantidad demanda da 740 623 710 831...

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x y Periodo Precio x*y 1 Jan-15 740 1,450 ### ### 2 Feb-15 623 1,830 ### ### 3 Mar-15 710 1,560 ### ### 4 Apr-15 831 1,140 ### ### 5 May-15 809 1,240 ### ### 6 Jun-15 793 1,355 ### ### 7 Jul-15 783 1,540 ### ### 8 Aug-15 756 1,060 ### ### 9 Sep-15 818 865 ### ### 10 Oct-15 868 630 ### ### 11 Nov-15 725 1,280 ### ### Sumatoria 8,456 13,950 Promedio 768.727273 1,268.18 Coeficiente de Correlación -81.94% b) dada la correlación y la R2 se demuestra que la correlación es c) es importante para revisar la tendenc d) el coeficiente de correlación es importante para verificar la relación entre e) a juntar ambos métodos nos indica visualmente y numéricamente que tan Cantidad demanda da x 2 a) tiene una pendiente negativa por lo que se demuestra que es una equación de deman influye directamente sobre
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- 28.73 825.26 -12,500.00 ### 359,090.91 - 145.73 21,236.44 -12,120.00 ### 1,766,214.55 - 58.73 3,448.89 -12,390.00 ### 727,630.91 62.27 3,877.89 -12,810.00 ### - 797,713.64 40.27 1,621.89 -12,710.00 ### - 511,866.36 24.27 589.17 -12,595.00 ### - 305,715.00 14.27 203.71 -12,410.00 ### - 177,124.55 - 12.73 161.98 -12,890.00 ### 164,054.55 49.27 2,427.80 -13,085.00 ### - 644,733.64 99.27 9,855.07 -13,320.00 ### - 1,322,312.73 - 43.73 1,912.07 -12,670.00 ### 554,024.55 - 0 46,160 - 139,500 1,770,259,450.00 - 188,450.45 Desv.Esta. 214.8 42,074.45 s negativa a lo que se traduce a mayor percio menor demanda cia de los datos y ver la realción entre si e si, si es cercana a 1 se puede asumir que están fuertemente relacionadas n relacionadas están las variables y demostrar como una influye sobre la otra
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