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 = -0.6 * weight + 71
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
Imhof
1
80 kgMoser
3
64 kgRowe
4
72 kgKoretzky
5
66 kgJaun
9
66 kgRowsell
12
66 kgWellens
15
71 kgDillier
16
75 kgThièry
20
67 kgPhinney
22
82 kgChristian
23
72 kgBarbin
25
60 kgScheire
27
61 kgMaldonado
42
57 kgSbaragli
45
74 kgSchelling
46
61 kgHirt
50
62 kgAsselman
51
69 kgAregger
58
70 kgPetrovski
72
69 kgColbrelli
73
74 kgEvrard
83
65 kg
1
80 kgMoser
3
64 kgRowe
4
72 kgKoretzky
5
66 kgJaun
9
66 kgRowsell
12
66 kgWellens
15
71 kgDillier
16
75 kgThièry
20
67 kgPhinney
22
82 kgChristian
23
72 kgBarbin
25
60 kgScheire
27
61 kgMaldonado
42
57 kgSbaragli
45
74 kgSchelling
46
61 kgHirt
50
62 kgAsselman
51
69 kgAregger
58
70 kgPetrovski
72
69 kgColbrelli
73
74 kgEvrard
83
65 kg
Weight (KG) →
Result →
82
57
1
83
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | IMHOF Claudio | 80 |
| 3 | MOSER Moreno | 64 |
| 4 | ROWE Luke | 72 |
| 5 | KORETZKY Clément | 66 |
| 9 | JAUN Lukas | 66 |
| 12 | ROWSELL Erick | 66 |
| 15 | WELLENS Tim | 71 |
| 16 | DILLIER Silvan | 75 |
| 20 | THIÈRY Cyrille | 67 |
| 22 | PHINNEY Taylor | 82 |
| 23 | CHRISTIAN Mark | 72 |
| 25 | BARBIN Enrico | 60 |
| 27 | SCHEIRE Ruben | 61 |
| 42 | MALDONADO Anthony | 57 |
| 45 | SBARAGLI Kristian | 74 |
| 46 | SCHELLING Patrick | 61 |
| 50 | HIRT Jan | 62 |
| 51 | ASSELMAN Jesper | 69 |
| 58 | AREGGER Marcel | 70 |
| 72 | PETROVSKI Stefan | 69 |
| 73 | COLBRELLI Sonny | 74 |
| 83 | EVRARD Laurent | 65 |