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 = -7.4 * weight + 1081
This means that on average for every extra kilogram weight a rider loses -7.4 positions in the result.
Rominger
1
65 kgBaldato
2
60 kgBerzin
3
64 kgFrattini
4
60 kgLafis
5
78 kgBertolini
7
63 kgGuerini
8
65 kgCenghialta
9
73 kgImboden
990
70 kgFondriest
990
70 kgUgrumov
990
58 kgCasagrande
990
63 kgGotti
990
65 kgPiccoli
990
64 kgTafi
990
73 kgTonkov
990
70 kgTotschnig
990
62 kgSimoni
990
59 kgNoè
990
65 kgRebellin
990
63 kg
1
65 kgBaldato
2
60 kgBerzin
3
64 kgFrattini
4
60 kgLafis
5
78 kgBertolini
7
63 kgGuerini
8
65 kgCenghialta
9
73 kgImboden
990
70 kgFondriest
990
70 kgUgrumov
990
58 kgCasagrande
990
63 kgGotti
990
65 kgPiccoli
990
64 kgTafi
990
73 kgTonkov
990
70 kgTotschnig
990
62 kgSimoni
990
59 kgNoè
990
65 kgRebellin
990
63 kg
Weight (KG) →
Result →
78
58
1
990
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ROMINGER Tony | 65 |
| 2 | BALDATO Fabio | 60 |
| 3 | BERZIN Evgeni | 64 |
| 4 | FRATTINI Francesco | 60 |
| 5 | LAFIS Michel | 78 |
| 7 | BERTOLINI Alessandro | 63 |
| 8 | GUERINI Giuseppe | 65 |
| 9 | CENGHIALTA Bruno | 73 |
| 990 | IMBODEN Heinz | 70 |
| 990 | FONDRIEST Maurizio | 70 |
| 990 | UGRUMOV Piotr | 58 |
| 990 | CASAGRANDE Filippo | 63 |
| 990 | GOTTI Ivan | 65 |
| 990 | PICCOLI Mariano | 64 |
| 990 | TAFI Andrea | 73 |
| 990 | TONKOV Pavel | 70 |
| 990 | TOTSCHNIG Georg | 62 |
| 990 | SIMONI Gilberto | 59 |
| 990 | NOÈ Andrea | 65 |
| 990 | REBELLIN Davide | 63 |