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 = 0.9 * weight + 587
This means that on average for every extra kilogram weight a rider loses 0.9 positions in the result.
Imboden
1
70 kgPiccoli
2
64 kgTonkov
3
70 kgFrattini
4
60 kgGotti
5
65 kgBerzin
9
64 kgNoè
10
65 kgRominger
990
65 kgCenghialta
990
73 kgFondriest
990
70 kgUgrumov
990
58 kgCasagrande
990
63 kgLafis
990
78 kgTafi
990
73 kgTotschnig
990
62 kgGuerini
990
65 kgBaldato
990
60 kgSimoni
990
59 kgBertolini
990
63 kgRebellin
990
63 kg
1
70 kgPiccoli
2
64 kgTonkov
3
70 kgFrattini
4
60 kgGotti
5
65 kgBerzin
9
64 kgNoè
10
65 kgRominger
990
65 kgCenghialta
990
73 kgFondriest
990
70 kgUgrumov
990
58 kgCasagrande
990
63 kgLafis
990
78 kgTafi
990
73 kgTotschnig
990
62 kgGuerini
990
65 kgBaldato
990
60 kgSimoni
990
59 kgBertolini
990
63 kgRebellin
990
63 kg
Weight (KG) →
Result →
78
58
1
990
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | IMBODEN Heinz | 70 |
| 2 | PICCOLI Mariano | 64 |
| 3 | TONKOV Pavel | 70 |
| 4 | FRATTINI Francesco | 60 |
| 5 | GOTTI Ivan | 65 |
| 9 | BERZIN Evgeni | 64 |
| 10 | NOÈ Andrea | 65 |
| 990 | ROMINGER Tony | 65 |
| 990 | CENGHIALTA Bruno | 73 |
| 990 | FONDRIEST Maurizio | 70 |
| 990 | UGRUMOV Piotr | 58 |
| 990 | CASAGRANDE Filippo | 63 |
| 990 | LAFIS Michel | 78 |
| 990 | TAFI Andrea | 73 |
| 990 | TOTSCHNIG Georg | 62 |
| 990 | GUERINI Giuseppe | 65 |
| 990 | BALDATO Fabio | 60 |
| 990 | SIMONI Gilberto | 59 |
| 990 | BERTOLINI Alessandro | 63 |
| 990 | REBELLIN Davide | 63 |