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 * weight + 96
This means that on average for every extra kilogram weight a rider loses -1 positions in the result.
Phinney
1
82 kgRowe
2
72 kgMoser
3
64 kgRowsell
4
66 kgKoretzky
6
66 kgImhof
8
80 kgAsselman
10
69 kgJaun
12
66 kgChristian
13
72 kgSchelling
15
61 kgBarbin
18
60 kgThièry
19
67 kgDillier
25
75 kgHirt
28
62 kgColbrelli
29
74 kgWellens
41
71 kgSbaragli
42
74 kgPetrovski
52
69 kgScheire
63
61 kgMaldonado
72
57 kgAregger
77
70 kg
1
82 kgRowe
2
72 kgMoser
3
64 kgRowsell
4
66 kgKoretzky
6
66 kgImhof
8
80 kgAsselman
10
69 kgJaun
12
66 kgChristian
13
72 kgSchelling
15
61 kgBarbin
18
60 kgThièry
19
67 kgDillier
25
75 kgHirt
28
62 kgColbrelli
29
74 kgWellens
41
71 kgSbaragli
42
74 kgPetrovski
52
69 kgScheire
63
61 kgMaldonado
72
57 kgAregger
77
70 kg
Weight (KG) →
Result →
82
57
1
77
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PHINNEY Taylor | 82 |
| 2 | ROWE Luke | 72 |
| 3 | MOSER Moreno | 64 |
| 4 | ROWSELL Erick | 66 |
| 6 | KORETZKY Clément | 66 |
| 8 | IMHOF Claudio | 80 |
| 10 | ASSELMAN Jesper | 69 |
| 12 | JAUN Lukas | 66 |
| 13 | CHRISTIAN Mark | 72 |
| 15 | SCHELLING Patrick | 61 |
| 18 | BARBIN Enrico | 60 |
| 19 | THIÈRY Cyrille | 67 |
| 25 | DILLIER Silvan | 75 |
| 28 | HIRT Jan | 62 |
| 29 | COLBRELLI Sonny | 74 |
| 41 | WELLENS Tim | 71 |
| 42 | SBARAGLI Kristian | 74 |
| 52 | PETROVSKI Stefan | 69 |
| 63 | SCHEIRE Ruben | 61 |
| 72 | MALDONADO Anthony | 57 |
| 77 | AREGGER Marcel | 70 |