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 = -0.9 * weight + 86
This means that on average for every extra kilogram weight a rider loses -0.9 positions in the result.
Hirt
1
62 kgColbrelli
2
74 kgDillier
3
75 kgAregger
6
70 kgMaldonado
7
57 kgKoretzky
11
66 kgPhinney
14
82 kgChristian
16
72 kgWellens
17
71 kgImhof
18
80 kgRowe
23
72 kgPetrovski
24
69 kgBarbin
26
60 kgSchelling
29
61 kgSbaragli
35
74 kgRowsell
40
66 kgJaun
46
66 kgThièry
53
67 kgMoser
54
64 kgScheire
69
61 kgAsselman
79
69 kg
1
62 kgColbrelli
2
74 kgDillier
3
75 kgAregger
6
70 kgMaldonado
7
57 kgKoretzky
11
66 kgPhinney
14
82 kgChristian
16
72 kgWellens
17
71 kgImhof
18
80 kgRowe
23
72 kgPetrovski
24
69 kgBarbin
26
60 kgSchelling
29
61 kgSbaragli
35
74 kgRowsell
40
66 kgJaun
46
66 kgThièry
53
67 kgMoser
54
64 kgScheire
69
61 kgAsselman
79
69 kg
Weight (KG) →
Result →
82
57
1
79
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | HIRT Jan | 62 |
| 2 | COLBRELLI Sonny | 74 |
| 3 | DILLIER Silvan | 75 |
| 6 | AREGGER Marcel | 70 |
| 7 | MALDONADO Anthony | 57 |
| 11 | KORETZKY Clément | 66 |
| 14 | PHINNEY Taylor | 82 |
| 16 | CHRISTIAN Mark | 72 |
| 17 | WELLENS Tim | 71 |
| 18 | IMHOF Claudio | 80 |
| 23 | ROWE Luke | 72 |
| 24 | PETROVSKI Stefan | 69 |
| 26 | BARBIN Enrico | 60 |
| 29 | SCHELLING Patrick | 61 |
| 35 | SBARAGLI Kristian | 74 |
| 40 | ROWSELL Erick | 66 |
| 46 | JAUN Lukas | 66 |
| 53 | THIÈRY Cyrille | 67 |
| 54 | MOSER Moreno | 64 |
| 69 | SCHEIRE Ruben | 61 |
| 79 | ASSELMAN Jesper | 69 |