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 = -1.2 * weight + 132
This means that on average for every extra kilogram weight a rider loses -1.2 positions in the result.
Bonduel
1
74 kgVlaemynck
2
63 kgMarie
8
80 kgLowie
18
68 kgvan Schendel
18
82 kgBernardoni
18
65 kgChocque
18
71 kgSoffietti
18
70 kgGoasmat
51
60 kgMaye
55
67 kgKint
56
74 kgNeuville
62
80 kgMasson jr
63
78 kgMallet
65
53 kgCogan
66
68 kgLouviot
77
62 kgThiétard
79
68 kgTassin
80
70 kgGoutorbe
84
69 kgLevel
86
64 kgVietto
97
67 kg
1
74 kgVlaemynck
2
63 kgMarie
8
80 kgLowie
18
68 kgvan Schendel
18
82 kgBernardoni
18
65 kgChocque
18
71 kgSoffietti
18
70 kgGoasmat
51
60 kgMaye
55
67 kgKint
56
74 kgNeuville
62
80 kgMasson jr
63
78 kgMallet
65
53 kgCogan
66
68 kgLouviot
77
62 kgThiétard
79
68 kgTassin
80
70 kgGoutorbe
84
69 kgLevel
86
64 kgVietto
97
67 kg
Weight (KG) →
Result →
82
53
1
97
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BONDUEL Frans | 74 |
| 2 | VLAEMYNCK Lucien | 63 |
| 8 | MARIE Yvan | 80 |
| 18 | LOWIE Jules | 68 |
| 18 | VAN SCHENDEL Antoon | 82 |
| 18 | BERNARDONI Oreste | 65 |
| 18 | CHOCQUE Paul | 71 |
| 18 | SOFFIETTI Joseph | 70 |
| 51 | GOASMAT Jean-Marie | 60 |
| 55 | MAYE Paul | 67 |
| 56 | KINT Marcel | 74 |
| 62 | NEUVILLE François | 80 |
| 63 | MASSON JR Émile | 78 |
| 65 | MALLET Auguste | 53 |
| 66 | COGAN Pierre | 68 |
| 77 | LOUVIOT Raymond | 62 |
| 79 | THIÉTARD Louis | 68 |
| 80 | TASSIN Eloi | 70 |
| 84 | GOUTORBE Joseph | 69 |
| 86 | LEVEL Léon | 64 |
| 97 | VIETTO René | 67 |