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 = -2.8 * weight + 235
This means that on average for every extra kilogram weight a rider loses -2.8 positions in the result.
Lander
1
70 kgSbaragli
3
74 kgTatarinov
9
67 kgWaeytens
10
67 kgAntonini
14
75 kgDraperi
15
70 kgVan der Sande
19
67 kgBroeckx
27
73 kgOrrico
31
70 kgAsselman
37
69 kgDruyts
39
69 kgPacchiardo
43
60 kgKoretzky
44
66 kgViola
49
69 kgZhupa
50
78 kgBani
63
72 kgPettiti
72
71 kgSprengers
85
60 kgMaestri
101
73 kgHavik
112
66 kgGani
121
55 kg
1
70 kgSbaragli
3
74 kgTatarinov
9
67 kgWaeytens
10
67 kgAntonini
14
75 kgDraperi
15
70 kgVan der Sande
19
67 kgBroeckx
27
73 kgOrrico
31
70 kgAsselman
37
69 kgDruyts
39
69 kgPacchiardo
43
60 kgKoretzky
44
66 kgViola
49
69 kgZhupa
50
78 kgBani
63
72 kgPettiti
72
71 kgSprengers
85
60 kgMaestri
101
73 kgHavik
112
66 kgGani
121
55 kg
Weight (KG) →
Result →
78
55
1
121
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | LANDER Sebastian | 70 |
| 3 | SBARAGLI Kristian | 74 |
| 9 | TATARINOV Gennadiy | 67 |
| 10 | WAEYTENS Zico | 67 |
| 14 | ANTONINI Simone | 75 |
| 15 | DRAPERI Matteo | 70 |
| 19 | VAN DER SANDE Tosh | 67 |
| 27 | BROECKX Stig | 73 |
| 31 | ORRICO Davide | 70 |
| 37 | ASSELMAN Jesper | 69 |
| 39 | DRUYTS Gerry | 69 |
| 43 | PACCHIARDO Davide | 60 |
| 44 | KORETZKY Clément | 66 |
| 49 | VIOLA Antonio | 69 |
| 50 | ZHUPA Eugert | 78 |
| 63 | BANI Eugenio | 72 |
| 72 | PETTITI Alessandro | 71 |
| 85 | SPRENGERS Thomas | 60 |
| 101 | MAESTRI Mirco | 73 |
| 112 | HAVIK Yoeri | 66 |
| 121 | GANI Davide | 55 |