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 = -1.8 * weight + 181
This means that on average for every extra kilogram weight a rider loses -1.8 positions in the result.
Van der Sande
1
67 kgSbaragli
5
74 kgViola
9
69 kgWaeytens
10
67 kgPacchiardo
19
60 kgDraperi
20
70 kgBani
24
72 kgBroeckx
34
73 kgAsselman
41
69 kgAntonini
44
75 kgZhupa
46
78 kgKoretzky
51
66 kgOrrico
55
70 kgPettiti
62
71 kgSprengers
89
60 kgLander
99
70 kgTatarinov
102
67 kgGani
105
55 kgDruyts
106
69 kgMaestri
118
73 kgHavik
119
66 kg
1
67 kgSbaragli
5
74 kgViola
9
69 kgWaeytens
10
67 kgPacchiardo
19
60 kgDraperi
20
70 kgBani
24
72 kgBroeckx
34
73 kgAsselman
41
69 kgAntonini
44
75 kgZhupa
46
78 kgKoretzky
51
66 kgOrrico
55
70 kgPettiti
62
71 kgSprengers
89
60 kgLander
99
70 kgTatarinov
102
67 kgGani
105
55 kgDruyts
106
69 kgMaestri
118
73 kgHavik
119
66 kg
Weight (KG) →
Result →
78
55
1
119
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VAN DER SANDE Tosh | 67 |
| 5 | SBARAGLI Kristian | 74 |
| 9 | VIOLA Antonio | 69 |
| 10 | WAEYTENS Zico | 67 |
| 19 | PACCHIARDO Davide | 60 |
| 20 | DRAPERI Matteo | 70 |
| 24 | BANI Eugenio | 72 |
| 34 | BROECKX Stig | 73 |
| 41 | ASSELMAN Jesper | 69 |
| 44 | ANTONINI Simone | 75 |
| 46 | ZHUPA Eugert | 78 |
| 51 | KORETZKY Clément | 66 |
| 55 | ORRICO Davide | 70 |
| 62 | PETTITI Alessandro | 71 |
| 89 | SPRENGERS Thomas | 60 |
| 99 | LANDER Sebastian | 70 |
| 102 | TATARINOV Gennadiy | 67 |
| 105 | GANI Davide | 55 |
| 106 | DRUYTS Gerry | 69 |
| 118 | MAESTRI Mirco | 73 |
| 119 | HAVIK Yoeri | 66 |