Regression line on weight and result
With regression analysis we can check if there is a relationship between a dependent (also called outcome variable) and an independent variable. In this statistic, the relationship between the weight of a rider and the result (outcome) is investigated.
The formula for the regression line on the riders in the result is as follows:
The formula for the regression line on the riders in the result is as follows:
result = 13.3 * weight - 192
This means that on average for every extra kilogram weight a rider loses 13.3 positions in the result.
Rebellin
1
63 kgFrattini
2
60 kgFondriest
4
70 kgBerzin
5
64 kgBertolini
7
63 kgPiccoli
8
64 kgRominger
9
65 kgImboden
990
70 kgCenghialta
990
73 kgUgrumov
990
58 kgCasagrande
990
63 kgLafis
990
78 kgGotti
990
65 kgTafi
990
73 kgTonkov
990
70 kgTotschnig
990
62 kgGuerini
990
65 kgBaldato
990
60 kgSimoni
990
59 kgNoè
990
65 kgPantani
990
58 kgBugno
990
68 kg
1
63 kgFrattini
2
60 kgFondriest
4
70 kgBerzin
5
64 kgBertolini
7
63 kgPiccoli
8
64 kgRominger
9
65 kgImboden
990
70 kgCenghialta
990
73 kgUgrumov
990
58 kgCasagrande
990
63 kgLafis
990
78 kgGotti
990
65 kgTafi
990
73 kgTonkov
990
70 kgTotschnig
990
62 kgGuerini
990
65 kgBaldato
990
60 kgSimoni
990
59 kgNoè
990
65 kgPantani
990
58 kgBugno
990
68 kg
Weight (KG) →
Result →
78
58
1
990
# | Rider | Weight (KG) |
---|---|---|
1 | REBELLIN Davide | 63 |
2 | FRATTINI Francesco | 60 |
4 | FONDRIEST Maurizio | 70 |
5 | BERZIN Evgeni | 64 |
7 | BERTOLINI Alessandro | 63 |
8 | PICCOLI Mariano | 64 |
9 | ROMINGER Tony | 65 |
990 | IMBODEN Heinz | 70 |
990 | CENGHIALTA Bruno | 73 |
990 | UGRUMOV Piotr | 58 |
990 | CASAGRANDE Filippo | 63 |
990 | LAFIS Michel | 78 |
990 | GOTTI Ivan | 65 |
990 | TAFI Andrea | 73 |
990 | TONKOV Pavel | 70 |
990 | TOTSCHNIG Georg | 62 |
990 | GUERINI Giuseppe | 65 |
990 | BALDATO Fabio | 60 |
990 | SIMONI Gilberto | 59 |
990 | NOÈ Andrea | 65 |
990 | PANTANI Marco | 58 |
990 | BUGNO Gianni | 68 |