Pinturas marinas anticorrosivas a brasil
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Pinturas marinas anticorrosivas a brasil Document Transcript

  • 1. PINTURAS MARINAS ANTICORROSIVAS A BRASIL N (X) AÑOS CANTIDAD (TN) 1 2002 80.39 2 2003 40.06 3 2004 31.19 4 2005 35.39 5 2006 133.61 6 2007 17.37 7 2008 0.1 8 2009 3.78 9 2010 1.25 10 2011 0.33 11 *2012 -350.4231 12 *2013 -1987.3892 13 *2014 -6378.9823 14 *2015 -16005.1164 15 *2016 -34623.6095 16 *2017 -67628.8756 Pinturas Marinas Anticorrosivas 160 140 y = -0.059x6 + 1.830x5 - 21.09x4 + 112.0x3 - 271.2x2 + 246.5x + 13.67 120 R² = 0.662 100 80 Axis Title Series1 60 Poly. (Series1) 40 20 0 1 2 3 4 5 6 7 8 9 10 -20 -40
  • 2. PERFUMES Y AGUAS DE TOCADOR A PANAMA N (X) AÑOS CANTIDAD (TN) 1 2002 3.84 2 2003 4.43 3 2004 26.49 4 2005 43.03 5 2006 43.11 6 2007 219.36 7 2008 781.33 8 2009 362.49 9 2010 365.39 10 2011 178.69 11 *2012 1879.0323 12 *2013 8870.7552 13 *2014 27365.0647 14 *2015 67376.8608 15 *2016 143926.0275 16 *2017 278408.3488900 y = 0.223x6 - 6.663x5 + 74.45x4 - 390.4x3 + 1004.x2 - 1184.x + 501.8800 R² = 0.792700600500400 Series1300 Poly. (Series1)200100 0-100 1 2 3 4 5 6 7 8 9 10
  • 3. CAMISETAS A ITALIA N (X) AÑOS CANTIDAD (TN) 1 2002 100 2 2003 450 3 2004 300 4 2005 250 5 2006 259 6 2007 489 7 2008 580 8 2009 640 9 2010 379 10 2011 809 11 *2012 3646.9214 12 *2013 12319.3912 13 *2014 32640.6214 14 *2015 73484.108 15 *2016 147674.275 16 *2017 272951.4424900 y = 0.139x6 - 3.233x5 + 21.25x4 + 13.66x3 - 573.0x2800 + 1723x - 1078. R² = 0.975700600500 Series1400 Poly. (Series1)300200100 0 1 2 3 4 5 6 7 8 9 10
  • 4. YUCA A ESTADOS UNIDOS N (X) AÑOS CANTIDAD (TN) 1 2002 30.05 2 2003 45.5 3 2004 67.87 4 2005 32.8 5 2006 59.67 6 2007 70.6 7 2008 90.54 8 2009 128.67 9 2010 159.59 10 2011 268.89 11 *2012 603.4894 12 *2013 1559.7804 13 *2014 3751.0976 14 *2015 8172.994 15 *2016 16304.409 16 *2017 30238.3244300 y = 0.021x6 - 0.620x5 + 6.866x4 - 34.81x3 + 78.52x2 -250 55.91x + 35.21 R² = 0.987200150 Series1 Poly. (Series1)100 50 0 1 2 3 4 5 6 7 8 9 10
  • 5. EDREDONES A ESPAÑA N (X) AÑOS CANTIDAD (TN) 1 2002 120.4 2 2003 130.5 3 2004 140.6 4 2005 150.5 5 2006 170.5 6 2007 190.4 7 2008 200.7 8 2009 250.3 9 2010 350.5 10 2011 489.5 11 *2012 520.0011 12 *2013 250.202 13 *2014 -847.9143 14 *2015 -3616.5708 15 *2016 -9357.7825 16 *2017 -19967.8044600 y = -0.023x6 + 0.750x5 - 9.279x4 + 55.43x3 - 165.2x2 +500 237.2x + 1.13 R² = 0.999400300 Series1 Poly. (Series1)200100 0 1 2 3 4 5 6 7 8 9 10