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 = 1.3 * weight - 35
This means that on average for every extra kilogram weight a rider loses 1.3 positions in the result.
Shpilevsky
6
78 kgDekkers
7
72 kgDe Clercq
9
66 kgVanlandschoot
14
67 kgvan Hummel
16
64 kgRoberts
19
71 kgvan Dooren
31
59 kgCommeyne
32
70 kgVerstraeten
37
65 kgKlostergaard
45
69 kgde Kort
48
69 kgPosthuma
57
76 kgCordes
62
70 kgFirsanov
73
58 kgSijmens
81
69 kgWielinga
87
68 kgDe Neef
91
75 kgAl
94
72 kgMouris
97
91 kgSutherland
99
75 kgVan Huffel
111
66 kg
6
78 kgDekkers
7
72 kgDe Clercq
9
66 kgVanlandschoot
14
67 kgvan Hummel
16
64 kgRoberts
19
71 kgvan Dooren
31
59 kgCommeyne
32
70 kgVerstraeten
37
65 kgKlostergaard
45
69 kgde Kort
48
69 kgPosthuma
57
76 kgCordes
62
70 kgFirsanov
73
58 kgSijmens
81
69 kgWielinga
87
68 kgDe Neef
91
75 kgAl
94
72 kgMouris
97
91 kgSutherland
99
75 kgVan Huffel
111
66 kg
Weight (KG) →
Result →
91
58
6
111
| # | Rider | Weight (KG) |
|---|---|---|
| 6 | SHPILEVSKY Boris | 78 |
| 7 | DEKKERS Hans | 72 |
| 9 | DE CLERCQ Mario | 66 |
| 14 | VANLANDSCHOOT James | 67 |
| 16 | VAN HUMMEL Kenny | 64 |
| 19 | ROBERTS Luke | 71 |
| 31 | VAN DOOREN Bas | 59 |
| 32 | COMMEYNE Davy | 70 |
| 37 | VERSTRAETEN Jan | 65 |
| 45 | KLOSTERGAARD Kasper | 69 |
| 48 | DE KORT Koen | 69 |
| 57 | POSTHUMA Joost | 76 |
| 62 | CORDES Tom | 70 |
| 73 | FIRSANOV Sergey | 58 |
| 81 | SIJMENS Nico | 69 |
| 87 | WIELINGA Remmert | 68 |
| 91 | DE NEEF Steven | 75 |
| 94 | AL Thijs | 72 |
| 97 | MOURIS Jens | 91 |
| 99 | SUTHERLAND Rory | 75 |
| 111 | VAN HUFFEL Wim | 66 |