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 = -0.4 * weight + 38
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
Greipel
1
80 kgDavis
2
73 kgRenshaw
3
74 kgBrown
4
76 kgDelage
5
70 kgBuffaz
6
64 kgWestphal
7
75 kgFörster
8
83 kgOffredo
9
69 kgRojas
10
70 kgCarlström
11
70 kgDion
12
65 kgChampion
13
70 kgBenítez
14
66 kgSánchez
15
73 kgHenderson
16
75 kgSulzberger
17
65 kgPoulhiès
19
75 kgHayman
20
78 kgPorte
21
62 kgO'Grady
22
73 kgGilbert
23
75 kgAlbasini
24
65 kgClerc
25
71 kg
1
80 kgDavis
2
73 kgRenshaw
3
74 kgBrown
4
76 kgDelage
5
70 kgBuffaz
6
64 kgWestphal
7
75 kgFörster
8
83 kgOffredo
9
69 kgRojas
10
70 kgCarlström
11
70 kgDion
12
65 kgChampion
13
70 kgBenítez
14
66 kgSánchez
15
73 kgHenderson
16
75 kgSulzberger
17
65 kgPoulhiès
19
75 kgHayman
20
78 kgPorte
21
62 kgO'Grady
22
73 kgGilbert
23
75 kgAlbasini
24
65 kgClerc
25
71 kg
Weight (KG) →
Result →
83
62
1
25
# | Rider | Weight (KG) |
---|---|---|
1 | GREIPEL André | 80 |
2 | DAVIS Allan | 73 |
3 | RENSHAW Mark | 74 |
4 | BROWN Graeme Allen | 76 |
5 | DELAGE Mickaël | 70 |
6 | BUFFAZ Mickaël | 64 |
7 | WESTPHAL Carlo | 75 |
8 | FÖRSTER Robert | 83 |
9 | OFFREDO Yoann | 69 |
10 | ROJAS José Joaquín | 70 |
11 | CARLSTRÖM Kjell | 70 |
12 | DION Renaud | 65 |
13 | CHAMPION Dimitri | 70 |
14 | BENÍTEZ José Alberto | 66 |
15 | SÁNCHEZ Luis León | 73 |
16 | HENDERSON Gregory | 75 |
17 | SULZBERGER Wesley | 65 |
19 | POULHIÈS Stéphane | 75 |
20 | HAYMAN Mathew | 78 |
21 | PORTE Richie | 62 |
22 | O'GRADY Stuart | 73 |
23 | GILBERT Philippe | 75 |
24 | ALBASINI Michael | 65 |
25 | CLERC Aurélien | 71 |