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 = -0.3 * weight + 32
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
Kooij
1
72 kgGrégoire
2
64 kgVernon
3
74 kgPenhoët
4
64 kgWalscheid
5
90 kgLeroux
6
79 kgSagan
7
78 kgCosnefroy
8
65 kgMerlier
9
76 kgCôté
10
74 kgLafay
11
65 kgMcLay
12
72 kgThomas
13
68 kgMalucelli
14
68 kgCharmig
16
66 kgThijssen
17
74 kgLe Berre
18
68 kgTurgis
19
70 kgColman
20
73 kgBlikra
21
75 kgAniołkowski
22
68 kgVan Avermaet
23
74 kgStewart
24
70 kgSteimle
25
73 kgMolly
26
61 kg
1
72 kgGrégoire
2
64 kgVernon
3
74 kgPenhoët
4
64 kgWalscheid
5
90 kgLeroux
6
79 kgSagan
7
78 kgCosnefroy
8
65 kgMerlier
9
76 kgCôté
10
74 kgLafay
11
65 kgMcLay
12
72 kgThomas
13
68 kgMalucelli
14
68 kgCharmig
16
66 kgThijssen
17
74 kgLe Berre
18
68 kgTurgis
19
70 kgColman
20
73 kgBlikra
21
75 kgAniołkowski
22
68 kgVan Avermaet
23
74 kgStewart
24
70 kgSteimle
25
73 kgMolly
26
61 kg
Weight (KG) →
Result →
90
61
1
26
# | Rider | Weight (KG) |
---|---|---|
1 | KOOIJ Olav | 72 |
2 | GRÉGOIRE Romain | 64 |
3 | VERNON Ethan | 74 |
4 | PENHOËT Paul | 64 |
5 | WALSCHEID Max | 90 |
6 | LEROUX Samuel | 79 |
7 | SAGAN Peter | 78 |
8 | COSNEFROY Benoît | 65 |
9 | MERLIER Tim | 76 |
10 | CÔTÉ Pier-André | 74 |
11 | LAFAY Victor | 65 |
12 | MCLAY Daniel | 72 |
13 | THOMAS Benjamin | 68 |
14 | MALUCELLI Matteo | 68 |
16 | CHARMIG Anthon | 66 |
17 | THIJSSEN Gerben | 74 |
18 | LE BERRE Mathis | 68 |
19 | TURGIS Anthony | 70 |
20 | COLMAN Alex | 73 |
21 | BLIKRA Erlend | 75 |
22 | ANIOŁKOWSKI Stanisław | 68 |
23 | VAN AVERMAET Greg | 74 |
24 | STEWART Mark | 70 |
25 | STEIMLE Jannik | 73 |
26 | MOLLY Kenny | 61 |