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 = 13.4 * weight - 279
This means that on average for every extra kilogram weight a rider loses 13.4 positions in the result.
Skibby
3
70 kgGianetti
8
62 kgSwart
11
74 kgJärmann
16
73 kgKelly
20
77 kgWechselberger
990
71 kgBauer
990
72 kgDernies
990
75 kgHodge
990
74 kgFondriest
990
70 kgHolm Sørensen
990
77 kgCenghialta
990
73 kgCaroli
990
77 kgDomínguez
990
67 kgBruyneel
990
71 kgRichard
990
67 kg
3
70 kgGianetti
8
62 kgSwart
11
74 kgJärmann
16
73 kgKelly
20
77 kgWechselberger
990
71 kgBauer
990
72 kgDernies
990
75 kgHodge
990
74 kgFondriest
990
70 kgHolm Sørensen
990
77 kgCenghialta
990
73 kgCaroli
990
77 kgDomínguez
990
67 kgBruyneel
990
71 kgRichard
990
67 kg
Weight (KG) →
Result →
77
62
3
990
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | SKIBBY Jesper | 70 |
| 8 | GIANETTI Mauro | 62 |
| 11 | SWART Steve | 74 |
| 16 | JÄRMANN Rolf | 73 |
| 20 | KELLY Sean | 77 |
| 990 | WECHSELBERGER Helmut | 71 |
| 990 | BAUER Steve | 72 |
| 990 | DERNIES Michel | 75 |
| 990 | HODGE Stephen | 74 |
| 990 | FONDRIEST Maurizio | 70 |
| 990 | HOLM SØRENSEN Brian | 77 |
| 990 | CENGHIALTA Bruno | 73 |
| 990 | CAROLI Daniele | 77 |
| 990 | DOMÍNGUEZ Manuel Jorge | 67 |
| 990 | BRUYNEEL Johan | 71 |
| 990 | RICHARD Pascal | 67 |