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 = 0.6 * weight - 28
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
Taaramäe
1
68 kgMollema
2
64 kgŠpilak
3
68 kgKadri
4
66 kgKreuziger
5
65 kgUlissi
6
63 kgUrán
7
63 kgvan Garderen
8
72 kgDe Gendt
9
73 kgJeannesson
10
65 kgGoss
11
70 kgBakelants
12
67 kgIzagirre
13
66 kgKoren
14
72 kgBouet
15
67 kgTalansky
16
63 kgDe Clercq
17
67 kgThomas
18
71 kgPaterski
19
73 kg
1
68 kgMollema
2
64 kgŠpilak
3
68 kgKadri
4
66 kgKreuziger
5
65 kgUlissi
6
63 kgUrán
7
63 kgvan Garderen
8
72 kgDe Gendt
9
73 kgJeannesson
10
65 kgGoss
11
70 kgBakelants
12
67 kgIzagirre
13
66 kgKoren
14
72 kgBouet
15
67 kgTalansky
16
63 kgDe Clercq
17
67 kgThomas
18
71 kgPaterski
19
73 kg
Weight (KG) →
Result →
73
63
1
19
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | TAARAMÄE Rein | 68 |
| 2 | MOLLEMA Bauke | 64 |
| 3 | ŠPILAK Simon | 68 |
| 4 | KADRI Blel | 66 |
| 5 | KREUZIGER Roman | 65 |
| 6 | ULISSI Diego | 63 |
| 7 | URÁN Rigoberto | 63 |
| 8 | VAN GARDEREN Tejay | 72 |
| 9 | DE GENDT Thomas | 73 |
| 10 | JEANNESSON Arnold | 65 |
| 11 | GOSS Matthew | 70 |
| 12 | BAKELANTS Jan | 67 |
| 13 | IZAGIRRE Gorka | 66 |
| 14 | KOREN Kristijan | 72 |
| 15 | BOUET Maxime | 67 |
| 16 | TALANSKY Andrew | 63 |
| 17 | DE CLERCQ Bart | 67 |
| 18 | THOMAS Geraint | 71 |
| 19 | PATERSKI Maciej | 73 |