TUGAS  MATEMATIKA TEKNIK KIMIA I
PENYAJIAN DATA DALAM BENTUK TABEL 40.9 32.5 24.2 18.7 14 10.4 8.8 Y 7 6 5 4 3 2 1 X
Penyajian data dalam bentuk grafik polynomial
Penyajian data dalam bentuk grafik exponential
Penyajian data dalam bentuk grafik linear
Pengolahan data secara Manual 31.0823 162.89 4259.7 4055.71 4676 784 140 749.7 149.7 28 11.6964 44.32 2004.1 1672.81 2401 ...
149 = 7a + 28b + 140c ………(1)   748.7 = 28a+140b+748c……..(2)   4254.7= 140a+784b+4676c....(3 )
149 = 7a + 28b + 140c ………(1)  748.7 = 28a+140b+748c……..(2)  598  =28a+112b+560c 748.7=28a+140b+784c -150.7 =-28b-224b .......
-150.7 =-28b-224b.......................(4)   -452.1 = -84b-672c x 3  -511.2 = -84b-756c .....................(5)  x 1   -...
RSQ <ul><li>See Also </li></ul><ul><li>Returns the square of the Pearson product moment correlation coefficient through da...
=4055 – (149,7) 2 7 –  (   (   )   )   2   n
Nächste SlideShare
Wird geladen in …5
×

Penyajian Data Dalam Bentuk Tabel Mtk

13.968 Aufrufe

Veröffentlicht am

Veröffentlicht in: Bildung, Technologie, Business
0 Kommentare
0 Gefällt mir
Statistik
Notizen
  • Als Erste(r) kommentieren

  • Gehören Sie zu den Ersten, denen das gefällt!

Keine Downloads
Aufrufe
Aufrufe insgesamt
13.968
Auf SlideShare
0
Aus Einbettungen
0
Anzahl an Einbettungen
23
Aktionen
Geteilt
0
Downloads
47
Kommentare
0
Gefällt mir
0
Einbettungen 0
Keine Einbettungen

Keine Notizen für die Folie

Penyajian Data Dalam Bentuk Tabel Mtk

  1. 1. TUGAS MATEMATIKA TEKNIK KIMIA I
  2. 2. PENYAJIAN DATA DALAM BENTUK TABEL 40.9 32.5 24.2 18.7 14 10.4 8.8 Y 7 6 5 4 3 2 1 X
  3. 3. Penyajian data dalam bentuk grafik polynomial
  4. 4. Penyajian data dalam bentuk grafik exponential
  5. 5. Penyajian data dalam bentuk grafik linear
  6. 6. Pengolahan data secara Manual 31.0823 162.89 4259.7 4055.71 4676 784 140 749.7 149.7 28 11.6964 44.32 2004.1 1672.81 2401 343 49 286.3 40.9 7 6.1009 34.97 1170 1056.25 1296 216 36 195 32.5 6 6.8644 27.02 610 595.36 625 125 25 122 24.4 5 3.1329 20.47 299.2 349.69 256 64 16 74.8 18.7 4 1.7424 15.32 126 196 81 27 9 42 14 3 1.3689 11.57 41.6 108.16 16 8 4 20.8 10.4 2 0.1764 9.22 8.8 77.44 1 1 1 8.8 8.8 1 (y-ŷ) 2 ŷ X 2 Y Y 2 X 4 X 3 X 2 XY Y X
  7. 7. 149 = 7a + 28b + 140c ………(1) 748.7 = 28a+140b+748c……..(2) 4254.7= 140a+784b+4676c....(3 )
  8. 8. 149 = 7a + 28b + 140c ………(1) 748.7 = 28a+140b+748c……..(2) 598 =28a+112b+560c 748.7=28a+140b+784c -150.7 =-28b-224b .......................(4) 4254.7= 140a+784b+4676c.....(3) 748.7 = 28a+140b+748c……..(2) 3743.5=140a+700b+3920c 4254.7=140a+784b+4676c -511.2 = -84b-756c .......................(5) x 4 x 1 x 5 x 1
  9. 9. -150.7 =-28b-224b.......................(4) -452.1 = -84b-672c x 3 -511.2 = -84b-756c .....................(5) x 1 -511.2 = -84b-756c 59.1= 84c c = 0.7 b = 0.25 a = 8.27 Y = 0,7x 2 + 0.25x + 8,27
  10. 10. RSQ <ul><li>See Also </li></ul><ul><li>Returns the square of the Pearson product moment correlation coefficient through data points in known_y's and known_x's. For more information, see PEARSON. The r-squared value can be interpreted as the proportion of the variance in y attributable to the variance in x. </li></ul><ul><li>Syntax </li></ul><ul><li>RSQ ( known_y's , known_x's ) </li></ul><ul><li>Known_y's    is an array or range of data points. </li></ul><ul><li>Known_x's    is an array or range of data points. </li></ul><ul><li>Remarks </li></ul><ul><li>The arguments must be either numbers or names, arrays, or references that contain numbers. </li></ul><ul><li>If an array or reference argument contains text, logical values, or empty cells, those values are ignored; however, cells with the value zero are included. </li></ul><ul><li>If known_y's and known_x's are empty or have a different number of data points, RSQ returns the #N/A error value. </li></ul><ul><li>The equation for the Pearson product moment correlation coefficient, r, is: </li></ul><ul><li>      </li></ul>
  11. 11. =4055 – (149,7) 2 7 – ( ( ) ) 2 n

×