Métodos estadísticos
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Publicado: 4 de noviembre de 2010
FORMULACION DE PROYECTO DE INVERSIÓN
METODOS ESTADISTICOS
Datos recolectados:
DX: demanda de leche evaporada por toneladas métricas, se tomó del consumo nacional de productos que conforman la canasta mínima alimentaria desde 1990 a 1998 y se proyecto hasta el año 2005.
PX: Precio de leche evaporada por lata grande, soles
PS: Precio del producto sustituto ( jugo de fruta por vaso), solesPC: Precio del producto complementario (pan francés por kilogramo), soles
POB: población total del Perú ( miles de habitantes).
PBI: PBI por Clase de Actividad Económica: industria alimentaria
YP: PBI/POB (soles por numero de habitantes)
Fuente: INEI
|AÑOS |DX |PX |PS |PC |POB |YP |
|1995|162389 |1.93083 |1.81583 |3.0075 |23531 |0.20024 |
|1996 |165926 |2.14417 |1.91833 |3.39417 |23946 |0.20141 |
|1997 |165747 |2.19083 |2.03417 |3.61167 |24371 |0.20464 |
|1998|167983 |2.2375 |2.12667 |3.66 |24888 |0.18965 |
|1999 |142297 |2.2575 |2.1475 |3.67 |25232 |0.21339 |
|2000 |139577 |2.37083 |2.19417 |3.67 |25661 |0.2226 |
|2001 |136313|2.41583 |2.195 |3.67 |23856.8 |0.24054 |
|2002 |132505 |2.43833 |2.19917 |3.87833 |23897.7 |0.25018 |
|2003 |128153 |2.40833 |2.21167 |4.15833 |23945.3 |0.25234 |
|2004 |123257|2.43 |2.22417 |4.75833 |23999.7 |0.26513 |
|2005 |117817 |2.44833 |2.26167 |4.77833 |24060.8 |0.27441 |
MODELO LINEAL
| |DX |PX |PS |PC |POB |YP |
|MEDIA|143815 |2.29750 |2.12076 |3.84151 |24308.1 |0.2285 |
|MEDIANA |139577 |2.37083 |2.19417 |3.67 |23999.7 |0.222 |
|MAXIMO |167983 |2.44833 |2.26167 |4.77833 |25661|0.2744 |
|MINIMMO |117817 |1.93083 |1.81583 |3.0075 |23531 |0.1896 |
|Std dev |18566.9 |0.163199 |0.140735 |0.537552 |664.770 |0.0291 |
|SKEWNESS |0.187785 |-1.19311 |-1.37391 |0.725268|1.11913 |0.2496 |
|KURTOSIS |-1.62725 |1.09743 |0.999669 |0.262293 |0.220673 |-1.4764 |
|TOTAL |11 |11 |11 |11 |11 |11 |
Correlations (Pearson)
DX PX PS PCPOB
PX -0.828
PS -0.800 0.962
PC -0.813 0.783 0.783
POB 0.100 0.121 0.285 -0.075
YP -0.959 0.808 0.734 0.859 -0.309
Cell Contents: Correlation
P-Value
Regression Analysis
The regression equation is
DX = 454759 + 53598 PX - 56503 PS + 10391 PC - 6.46 POB - 862772 YP
Predictor Coef...
METODOS ESTADISTICOS
Datos recolectados:
DX: demanda de leche evaporada por toneladas métricas, se tomó del consumo nacional de productos que conforman la canasta mínima alimentaria desde 1990 a 1998 y se proyecto hasta el año 2005.
PX: Precio de leche evaporada por lata grande, soles
PS: Precio del producto sustituto ( jugo de fruta por vaso), solesPC: Precio del producto complementario (pan francés por kilogramo), soles
POB: población total del Perú ( miles de habitantes).
PBI: PBI por Clase de Actividad Económica: industria alimentaria
YP: PBI/POB (soles por numero de habitantes)
Fuente: INEI
|AÑOS |DX |PX |PS |PC |POB |YP |
|1995|162389 |1.93083 |1.81583 |3.0075 |23531 |0.20024 |
|1996 |165926 |2.14417 |1.91833 |3.39417 |23946 |0.20141 |
|1997 |165747 |2.19083 |2.03417 |3.61167 |24371 |0.20464 |
|1998|167983 |2.2375 |2.12667 |3.66 |24888 |0.18965 |
|1999 |142297 |2.2575 |2.1475 |3.67 |25232 |0.21339 |
|2000 |139577 |2.37083 |2.19417 |3.67 |25661 |0.2226 |
|2001 |136313|2.41583 |2.195 |3.67 |23856.8 |0.24054 |
|2002 |132505 |2.43833 |2.19917 |3.87833 |23897.7 |0.25018 |
|2003 |128153 |2.40833 |2.21167 |4.15833 |23945.3 |0.25234 |
|2004 |123257|2.43 |2.22417 |4.75833 |23999.7 |0.26513 |
|2005 |117817 |2.44833 |2.26167 |4.77833 |24060.8 |0.27441 |
MODELO LINEAL
| |DX |PX |PS |PC |POB |YP |
|MEDIA|143815 |2.29750 |2.12076 |3.84151 |24308.1 |0.2285 |
|MEDIANA |139577 |2.37083 |2.19417 |3.67 |23999.7 |0.222 |
|MAXIMO |167983 |2.44833 |2.26167 |4.77833 |25661|0.2744 |
|MINIMMO |117817 |1.93083 |1.81583 |3.0075 |23531 |0.1896 |
|Std dev |18566.9 |0.163199 |0.140735 |0.537552 |664.770 |0.0291 |
|SKEWNESS |0.187785 |-1.19311 |-1.37391 |0.725268|1.11913 |0.2496 |
|KURTOSIS |-1.62725 |1.09743 |0.999669 |0.262293 |0.220673 |-1.4764 |
|TOTAL |11 |11 |11 |11 |11 |11 |
Correlations (Pearson)
DX PX PS PCPOB
PX -0.828
PS -0.800 0.962
PC -0.813 0.783 0.783
POB 0.100 0.121 0.285 -0.075
YP -0.959 0.808 0.734 0.859 -0.309
Cell Contents: Correlation
P-Value
Regression Analysis
The regression equation is
DX = 454759 + 53598 PX - 56503 PS + 10391 PC - 6.46 POB - 862772 YP
Predictor Coef...
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