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 = -2.3 * weight + 197
This means that on average for every extra kilogram weight a rider loses -2.3 positions in the result.
Draperi
3
70 kgSbaragli
5
74 kgWaeytens
9
67 kgAntonini
13
75 kgAsselman
14
69 kgVan der Sande
16
67 kgOrrico
18
70 kgBroeckx
25
73 kgTatarinov
29
67 kgPacchiardo
32
60 kgDruyts
40
69 kgPettiti
51
71 kgBani
53
72 kgKoretzky
54
66 kgZhupa
55
78 kgSprengers
65
60 kgMaestri
93
73 kgHavik
96
66 kgGani
114
55 kg
3
70 kgSbaragli
5
74 kgWaeytens
9
67 kgAntonini
13
75 kgAsselman
14
69 kgVan der Sande
16
67 kgOrrico
18
70 kgBroeckx
25
73 kgTatarinov
29
67 kgPacchiardo
32
60 kgDruyts
40
69 kgPettiti
51
71 kgBani
53
72 kgKoretzky
54
66 kgZhupa
55
78 kgSprengers
65
60 kgMaestri
93
73 kgHavik
96
66 kgGani
114
55 kg
Weight (KG) →
Result →
78
55
3
114
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | DRAPERI Matteo | 70 |
| 5 | SBARAGLI Kristian | 74 |
| 9 | WAEYTENS Zico | 67 |
| 13 | ANTONINI Simone | 75 |
| 14 | ASSELMAN Jesper | 69 |
| 16 | VAN DER SANDE Tosh | 67 |
| 18 | ORRICO Davide | 70 |
| 25 | BROECKX Stig | 73 |
| 29 | TATARINOV Gennadiy | 67 |
| 32 | PACCHIARDO Davide | 60 |
| 40 | DRUYTS Gerry | 69 |
| 51 | PETTITI Alessandro | 71 |
| 53 | BANI Eugenio | 72 |
| 54 | KORETZKY Clément | 66 |
| 55 | ZHUPA Eugert | 78 |
| 65 | SPRENGERS Thomas | 60 |
| 93 | MAESTRI Mirco | 73 |
| 96 | HAVIK Yoeri | 66 |
| 114 | GANI Davide | 55 |