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 + 106
This means that on average for every extra kilogram weight a rider loses -1 positions in the result.
Moser
1
64 kgRowe
2
72 kgThièry
4
67 kgRowsell
7
66 kgDillier
14
75 kgSbaragli
15
74 kgAsselman
24
69 kgWellens
25
71 kgImhof
26
80 kgMaldonado
29
57 kgJaun
33
66 kgPhinney
34
82 kgPetrovski
36
69 kgKoretzky
45
66 kgChristian
51
72 kgScheire
54
61 kgFenn
57
79 kgEvrard
59
65 kgSchelling
60
61 kgAregger
67
70 kgColbrelli
70
74 kgHirt
75
62 kgBarbin
83
60 kgHavik
102
66 kg
1
64 kgRowe
2
72 kgThièry
4
67 kgRowsell
7
66 kgDillier
14
75 kgSbaragli
15
74 kgAsselman
24
69 kgWellens
25
71 kgImhof
26
80 kgMaldonado
29
57 kgJaun
33
66 kgPhinney
34
82 kgPetrovski
36
69 kgKoretzky
45
66 kgChristian
51
72 kgScheire
54
61 kgFenn
57
79 kgEvrard
59
65 kgSchelling
60
61 kgAregger
67
70 kgColbrelli
70
74 kgHirt
75
62 kgBarbin
83
60 kgHavik
102
66 kg
Weight (KG) →
Result →
82
57
1
102
# | Rider | Weight (KG) |
---|---|---|
1 | MOSER Moreno | 64 |
2 | ROWE Luke | 72 |
4 | THIÈRY Cyrille | 67 |
7 | ROWSELL Erick | 66 |
14 | DILLIER Silvan | 75 |
15 | SBARAGLI Kristian | 74 |
24 | ASSELMAN Jesper | 69 |
25 | WELLENS Tim | 71 |
26 | IMHOF Claudio | 80 |
29 | MALDONADO Anthony | 57 |
33 | JAUN Lukas | 66 |
34 | PHINNEY Taylor | 82 |
36 | PETROVSKI Stefan | 69 |
45 | KORETZKY Clément | 66 |
51 | CHRISTIAN Mark | 72 |
54 | SCHEIRE Ruben | 61 |
57 | FENN Andrew | 79 |
59 | EVRARD Laurent | 65 |
60 | SCHELLING Patrick | 61 |
67 | AREGGER Marcel | 70 |
70 | COLBRELLI Sonny | 74 |
75 | HIRT Jan | 62 |
83 | BARBIN Enrico | 60 |
102 | HAVIK Yoeri | 66 |