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 = -1.7 * weight + 139
This means that on average for every extra kilogram weight a rider loses -1.7 positions in the result.
Gastauer
1
73 kgBérard
2
70 kgPinot
4
63 kgPhinney
5
82 kgSoupe
8
70 kgvan Garderen
9
72 kgKern
20
65 kgBardet
21
65 kgWauters
30
66 kgButler
32
61 kgSaggiorato
33
58 kgWarbasse
35
67 kgEijssen
37
60 kgDamuseau
39
64 kgMoberg Jørgensen
46
73 kgDomont
52
65 kgFumeaux
70
61 kg
1
73 kgBérard
2
70 kgPinot
4
63 kgPhinney
5
82 kgSoupe
8
70 kgvan Garderen
9
72 kgKern
20
65 kgBardet
21
65 kgWauters
30
66 kgButler
32
61 kgSaggiorato
33
58 kgWarbasse
35
67 kgEijssen
37
60 kgDamuseau
39
64 kgMoberg Jørgensen
46
73 kgDomont
52
65 kgFumeaux
70
61 kg
Weight (KG) →
Result →
82
58
1
70
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GASTAUER Ben | 73 |
| 2 | BÉRARD Julien | 70 |
| 4 | PINOT Thibaut | 63 |
| 5 | PHINNEY Taylor | 82 |
| 8 | SOUPE Geoffrey | 70 |
| 9 | VAN GARDEREN Tejay | 72 |
| 20 | KERN Julian | 65 |
| 21 | BARDET Romain | 65 |
| 30 | WAUTERS Willem | 66 |
| 32 | BUTLER Chris | 61 |
| 33 | SAGGIORATO Mirco | 58 |
| 35 | WARBASSE Larry | 67 |
| 37 | EIJSSEN Yannick | 60 |
| 39 | DAMUSEAU Thomas | 64 |
| 46 | MOBERG JØRGENSEN Christian | 73 |
| 52 | DOMONT Axel | 65 |
| 70 | FUMEAUX Jonathan | 61 |