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 = 0.1 * weight + 48
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
Mallet
5
53 kgTassin
6
70 kgBonduel
14
74 kgKint
16
74 kgVlaemynck
19
63 kgMarie
27
80 kgLevel
32
64 kgLowie
40
68 kgGoutorbe
42
69 kgMasson jr
45
78 kgNeuville
55
80 kgLouviot
57
62 kgBernardoni
58
65 kgMaye
63
67 kgvan Schendel
68
82 kgGoasmat
74
60 kgThiétard
75
68 kgCogan
78
68 kgSoffietti
84
70 kgVietto
93
67 kgChocque
95
71 kgMoerenhout
100
72 kgRuozzi
103
63 kg
5
53 kgTassin
6
70 kgBonduel
14
74 kgKint
16
74 kgVlaemynck
19
63 kgMarie
27
80 kgLevel
32
64 kgLowie
40
68 kgGoutorbe
42
69 kgMasson jr
45
78 kgNeuville
55
80 kgLouviot
57
62 kgBernardoni
58
65 kgMaye
63
67 kgvan Schendel
68
82 kgGoasmat
74
60 kgThiétard
75
68 kgCogan
78
68 kgSoffietti
84
70 kgVietto
93
67 kgChocque
95
71 kgMoerenhout
100
72 kgRuozzi
103
63 kg
Weight (KG) →
Result →
82
53
5
103
| # | Rider | Weight (KG) |
|---|---|---|
| 5 | MALLET Auguste | 53 |
| 6 | TASSIN Eloi | 70 |
| 14 | BONDUEL Frans | 74 |
| 16 | KINT Marcel | 74 |
| 19 | VLAEMYNCK Lucien | 63 |
| 27 | MARIE Yvan | 80 |
| 32 | LEVEL Léon | 64 |
| 40 | LOWIE Jules | 68 |
| 42 | GOUTORBE Joseph | 69 |
| 45 | MASSON JR Émile | 78 |
| 55 | NEUVILLE François | 80 |
| 57 | LOUVIOT Raymond | 62 |
| 58 | BERNARDONI Oreste | 65 |
| 63 | MAYE Paul | 67 |
| 68 | VAN SCHENDEL Antoon | 82 |
| 74 | GOASMAT Jean-Marie | 60 |
| 75 | THIÉTARD Louis | 68 |
| 78 | COGAN Pierre | 68 |
| 84 | SOFFIETTI Joseph | 70 |
| 93 | VIETTO René | 67 |
| 95 | CHOCQUE Paul | 71 |
| 100 | MOERENHOUT Jef | 72 |
| 103 | RUOZZI Gabriel | 63 |