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 + 91
This means that on average for every extra kilogram weight a rider loses -0.9 positions in the result.
Consonni
1
59 kgFidanza
2
60 kgTruyen
4
55 kgMartins
5
61 kgSchweinberger
11
63 kgTeutenberg
26
53 kgGafinovitz
31
52 kgVigié
32
58 kgSels
34
65 kgTacey
35
62 kgBastiaenssen
37
62 kgDruyts
44
62 kgVan Loy
51
65 kgSüßemilch
55
67 kgvan Houtum
56
55 kgDocx
66
52 kgFrancis
81
56 kgBrouckaert
87
55 kg
1
59 kgFidanza
2
60 kgTruyen
4
55 kgMartins
5
61 kgSchweinberger
11
63 kgTeutenberg
26
53 kgGafinovitz
31
52 kgVigié
32
58 kgSels
34
65 kgTacey
35
62 kgBastiaenssen
37
62 kgDruyts
44
62 kgVan Loy
51
65 kgSüßemilch
55
67 kgvan Houtum
56
55 kgDocx
66
52 kgFrancis
81
56 kgBrouckaert
87
55 kg
Weight (KG) →
Result →
67
52
1
87
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | CONSONNI Chiara | 59 |
| 2 | FIDANZA Martina | 60 |
| 4 | TRUYEN Marthe | 55 |
| 5 | MARTINS Maria | 61 |
| 11 | SCHWEINBERGER Kathrin | 63 |
| 26 | TEUTENBERG Lea Lin | 53 |
| 31 | GAFINOVITZ Rotem | 52 |
| 32 | VIGIÉ Margaux | 58 |
| 34 | SELS Loes | 65 |
| 35 | TACEY April | 62 |
| 37 | BASTIAENSSEN Fauve | 62 |
| 44 | DRUYTS Kelly | 62 |
| 51 | VAN LOY Ellen | 65 |
| 55 | SÜßEMILCH Laura | 67 |
| 56 | VAN HOUTUM Céline | 55 |
| 66 | DOCX Mieke | 52 |
| 81 | FRANCIS Jenaya | 56 |
| 87 | BROUCKAERT Sophie | 55 |