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 = -2.2 * weight + 186
This means that on average for every extra kilogram weight a rider loses -2.2 positions in the result.
Van der Sande
2
67 kgSbaragli
4
74 kgDraperi
5
70 kgWaeytens
6
67 kgAntonini
13
75 kgBroeckx
15
73 kgAsselman
19
69 kgOrrico
21
70 kgPacchiardo
23
60 kgTatarinov
26
67 kgKoretzky
34
66 kgDruyts
38
69 kgZhupa
40
78 kgBani
41
72 kgPettiti
46
71 kgSprengers
59
60 kgMaestri
103
73 kgGani
108
55 kgHavik
109
66 kg
2
67 kgSbaragli
4
74 kgDraperi
5
70 kgWaeytens
6
67 kgAntonini
13
75 kgBroeckx
15
73 kgAsselman
19
69 kgOrrico
21
70 kgPacchiardo
23
60 kgTatarinov
26
67 kgKoretzky
34
66 kgDruyts
38
69 kgZhupa
40
78 kgBani
41
72 kgPettiti
46
71 kgSprengers
59
60 kgMaestri
103
73 kgGani
108
55 kgHavik
109
66 kg
Weight (KG) →
Result →
78
55
2
109
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | VAN DER SANDE Tosh | 67 |
| 4 | SBARAGLI Kristian | 74 |
| 5 | DRAPERI Matteo | 70 |
| 6 | WAEYTENS Zico | 67 |
| 13 | ANTONINI Simone | 75 |
| 15 | BROECKX Stig | 73 |
| 19 | ASSELMAN Jesper | 69 |
| 21 | ORRICO Davide | 70 |
| 23 | PACCHIARDO Davide | 60 |
| 26 | TATARINOV Gennadiy | 67 |
| 34 | KORETZKY Clément | 66 |
| 38 | DRUYTS Gerry | 69 |
| 40 | ZHUPA Eugert | 78 |
| 41 | BANI Eugenio | 72 |
| 46 | PETTITI Alessandro | 71 |
| 59 | SPRENGERS Thomas | 60 |
| 103 | MAESTRI Mirco | 73 |
| 108 | GANI Davide | 55 |
| 109 | HAVIK Yoeri | 66 |