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 = -0.7 * weight + 74
This means that on average for every extra kilogram weight a rider loses -0.7 positions in the result.
Moser
1
64 kgRowe
2
72 kgRowsell
3
66 kgThièry
4
67 kgPhinney
6
82 kgDillier
8
75 kgImhof
9
80 kgKoretzky
15
66 kgChristian
18
72 kgSbaragli
20
74 kgBarbin
21
60 kgSchelling
25
61 kgJaun
29
66 kgHirt
34
62 kgWellens
38
71 kgScheire
43
61 kgMaldonado
44
57 kgAregger
46
70 kgColbrelli
52
74 kgAsselman
54
69 kgPetrovski
62
69 kg
1
64 kgRowe
2
72 kgRowsell
3
66 kgThièry
4
67 kgPhinney
6
82 kgDillier
8
75 kgImhof
9
80 kgKoretzky
15
66 kgChristian
18
72 kgSbaragli
20
74 kgBarbin
21
60 kgSchelling
25
61 kgJaun
29
66 kgHirt
34
62 kgWellens
38
71 kgScheire
43
61 kgMaldonado
44
57 kgAregger
46
70 kgColbrelli
52
74 kgAsselman
54
69 kgPetrovski
62
69 kg
Weight (KG) →
Result →
82
57
1
62
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MOSER Moreno | 64 |
| 2 | ROWE Luke | 72 |
| 3 | ROWSELL Erick | 66 |
| 4 | THIÈRY Cyrille | 67 |
| 6 | PHINNEY Taylor | 82 |
| 8 | DILLIER Silvan | 75 |
| 9 | IMHOF Claudio | 80 |
| 15 | KORETZKY Clément | 66 |
| 18 | CHRISTIAN Mark | 72 |
| 20 | SBARAGLI Kristian | 74 |
| 21 | BARBIN Enrico | 60 |
| 25 | SCHELLING Patrick | 61 |
| 29 | JAUN Lukas | 66 |
| 34 | HIRT Jan | 62 |
| 38 | WELLENS Tim | 71 |
| 43 | SCHEIRE Ruben | 61 |
| 44 | MALDONADO Anthony | 57 |
| 46 | AREGGER Marcel | 70 |
| 52 | COLBRELLI Sonny | 74 |
| 54 | ASSELMAN Jesper | 69 |
| 62 | PETROVSKI Stefan | 69 |