y = 0.7374x - 1869.2
R² = 0.9895
-6.00E+01
-4.00E+01
-2.00E+01
0.00E+00
2.00E+01
4.00E+01
6.00E+01
2.45E+03 2.50E+03 2.55E...
-2.50E+02
-2.00E+02
-1.50E+02
-1.00E+02
-5.00E+01
0.00E+00
5.00E+01
1.00E+02
1.50E+02
2.00E+02
2.50E+02
0.00E+001.00E+032....
y = 0.7248x - 1965.5
R² = 0.9972
-6.00E+01
-4.00E+01
-2.00E+01
0.00E+00
2.00E+01
4.00E+01
6.00E+01
2.60E+03 2.65E+03 2.70E...
y = 0.5531x - 1485.7
R² = 0.9858
-6.00E+01
-4.00E+01
-2.00E+01
0.00E+00
2.00E+01
4.00E+01
6.00E+01
2.55E+032.60E+032.65E+0...
y = 0.5385x - 1418
R² = 0.9948
-6.00E+01
-4.00E+01
-2.00E+01
0.00E+00
2.00E+01
4.00E+01
6.00E+01
2.50E+032.55E+032.60E+032...
y = 0.7077x - 1824.7
R² = 0.992
-6.00E+01
-4.00E+01
-2.00E+01
0.00E+00
2.00E+01
4.00E+01
6.00E+01
2.50E+03 2.55E+03 2.60E+...
Próxima SlideShare
Cargando en…5
×

Linear regime-dog-110310

539 visualizaciones

Publicado el

this is some data for my notebook.

Publicado en: Tecnología
0 comentarios
0 recomendaciones
Estadísticas
Notas
  • Sé el primero en comentar

  • Sé el primero en recomendar esto

Sin descargas
Visualizaciones
Visualizaciones totales
539
En SlideShare
0
De insertados
0
Número de insertados
12
Acciones
Compartido
0
Descargas
1
Comentarios
0
Recomendaciones
0
Insertados 0
No insertados

No hay notas en la diapositiva.

Linear regime-dog-110310

  1. 1. y = 0.7374x - 1869.2 R² = 0.9895 -6.00E+01 -4.00E+01 -2.00E+01 0.00E+00 2.00E+01 4.00E+01 6.00E+01 2.45E+03 2.50E+03 2.55E+03 2.60E+03 2.65E+03 Series1 Linear (Series1) -2.00E+02 -1.50E+02 -1.00E+02 -5.00E+01 0.00E+00 5.00E+01 1.00E+02 1.50E+02 2.00E+02 2.50E+02 0.00E+001.00E+032.00E+033.00E+034.00E+035.00E+036.00E+03 X (nm) X (nm)
  2. 2. -2.50E+02 -2.00E+02 -1.50E+02 -1.00E+02 -5.00E+01 0.00E+00 5.00E+01 1.00E+02 1.50E+02 2.00E+02 2.50E+02 0.00E+001.00E+032.00E+033.00E+034.00E+035.00E+036.00E+03 X (nm) X (nm) y = 0.6687x - 1688.2 R² = 0.9472 -6.00E+01 -4.00E+01 -2.00E+01 0.00E+00 2.00E+01 4.00E+01 6.00E+01 2.40E+03 2.45E+03 2.50E+03 2.55E+03 2.60E+03 Series1 Linear (Series1)
  3. 3. y = 0.7248x - 1965.5 R² = 0.9972 -6.00E+01 -4.00E+01 -2.00E+01 0.00E+00 2.00E+01 4.00E+01 6.00E+01 2.60E+03 2.65E+03 2.70E+03 2.75E+03 2.80E+03 Series1 Linear (Series1) -2.50E+02 -2.00E+02 -1.50E+02 -1.00E+02 -5.00E+01 0.00E+00 5.00E+01 1.00E+02 1.50E+02 2.00E+02 2.50E+02 0.00E+001.00E+032.00E+033.00E+034.00E+035.00E+036.00E+03 X (nm) X (nm)
  4. 4. y = 0.5531x - 1485.7 R² = 0.9858 -6.00E+01 -4.00E+01 -2.00E+01 0.00E+00 2.00E+01 4.00E+01 6.00E+01 2.55E+032.60E+032.65E+032.70E+032.75E+032.80E+03 Series1 Linear (Series1) -2.00E+02 -1.50E+02 -1.00E+02 -5.00E+01 0.00E+00 5.00E+01 1.00E+02 1.50E+02 2.00E+02 0.00E+001.00E+032.00E+033.00E+034.00E+035.00E+036.00E+03 X (nm) X (nm)
  5. 5. y = 0.5385x - 1418 R² = 0.9948 -6.00E+01 -4.00E+01 -2.00E+01 0.00E+00 2.00E+01 4.00E+01 6.00E+01 2.50E+032.55E+032.60E+032.65E+032.70E+032.75E+03 Series1 Linear (Series1) -2.50E+02 -2.00E+02 -1.50E+02 -1.00E+02 -5.00E+01 0.00E+00 5.00E+01 1.00E+02 1.50E+02 2.00E+02 0.00E+001.00E+032.00E+033.00E+034.00E+035.00E+036.00E+03 X (nm) X (nm)
  6. 6. y = 0.7077x - 1824.7 R² = 0.992 -6.00E+01 -4.00E+01 -2.00E+01 0.00E+00 2.00E+01 4.00E+01 6.00E+01 2.50E+03 2.55E+03 2.60E+03 2.65E+03 2.70E+03 Series1 Linear (Series1) -2.50E+02 -2.00E+02 -1.50E+02 -1.00E+02 -5.00E+01 0.00E+00 5.00E+01 1.00E+02 1.50E+02 2.00E+02 2.50E+02 0.00E+001.00E+032.00E+033.00E+034.00E+035.00E+036.00E+03 X (nm) X (nm)

×