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 = -0.1 * weight + 21
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Greipel
1
80 kgDavis
2
73 kgRenshaw
3
74 kgDelage
4
70 kgBuffaz
5
64 kgWestphal
6
75 kgOffredo
7
69 kgRojas
9
70 kgBrown
10
76 kgCarlström
11
70 kgDion
12
65 kgChampion
13
70 kgFörster
14
83 kgBenítez
15
66 kgSánchez
16
73 kgSulzberger
17
65 kgPoulhiès
19
75 kgHayman
20
78 kgPorte
21
62 kgGilbert
22
75 kgClerc
23
71 kg
1
80 kgDavis
2
73 kgRenshaw
3
74 kgDelage
4
70 kgBuffaz
5
64 kgWestphal
6
75 kgOffredo
7
69 kgRojas
9
70 kgBrown
10
76 kgCarlström
11
70 kgDion
12
65 kgChampion
13
70 kgFörster
14
83 kgBenítez
15
66 kgSánchez
16
73 kgSulzberger
17
65 kgPoulhiès
19
75 kgHayman
20
78 kgPorte
21
62 kgGilbert
22
75 kgClerc
23
71 kg
Weight (KG) →
Result →
83
62
1
23
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GREIPEL André | 80 |
| 2 | DAVIS Allan | 73 |
| 3 | RENSHAW Mark | 74 |
| 4 | DELAGE Mickaël | 70 |
| 5 | BUFFAZ Mickaël | 64 |
| 6 | WESTPHAL Carlo | 75 |
| 7 | OFFREDO Yoann | 69 |
| 9 | ROJAS José Joaquín | 70 |
| 10 | BROWN Graeme Allen | 76 |
| 11 | CARLSTRÖM Kjell | 70 |
| 12 | DION Renaud | 65 |
| 13 | CHAMPION Dimitri | 70 |
| 14 | FÖRSTER Robert | 83 |
| 15 | BENÍTEZ José Alberto | 66 |
| 16 | SÁNCHEZ Luis León | 73 |
| 17 | SULZBERGER Wesley | 65 |
| 19 | POULHIÈS Stéphane | 75 |
| 20 | HAYMAN Mathew | 78 |
| 21 | PORTE Richie | 62 |
| 22 | GILBERT Philippe | 75 |
| 23 | CLERC Aurélien | 71 |