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 - 8
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
Barguil
2
61 kgRossetto
4
68 kgVuillermoz
5
60 kgSchelling
7
61 kgMartin
12
55 kgSaggiorato
14
58 kgMeijers
15
70 kgMeintjes
17
58 kgRamirez
20
69 kgBackaert
21
78 kgFumeaux
29
61 kgCombaud
31
63 kgTurgis
32
63 kgDomont
33
65 kgChevrier
38
56 kgLienhard
39
73 kgPanassenko
41
69 kgPerez
43
70 kgGate
48
71 kgBrüngger
53
62 kgMaldonado
58
57 kgZakharov
60
70 kg
2
61 kgRossetto
4
68 kgVuillermoz
5
60 kgSchelling
7
61 kgMartin
12
55 kgSaggiorato
14
58 kgMeijers
15
70 kgMeintjes
17
58 kgRamirez
20
69 kgBackaert
21
78 kgFumeaux
29
61 kgCombaud
31
63 kgTurgis
32
63 kgDomont
33
65 kgChevrier
38
56 kgLienhard
39
73 kgPanassenko
41
69 kgPerez
43
70 kgGate
48
71 kgBrüngger
53
62 kgMaldonado
58
57 kgZakharov
60
70 kg
Weight (KG) →
Result →
78
55
2
60
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | BARGUIL Warren | 61 |
| 4 | ROSSETTO Stéphane | 68 |
| 5 | VUILLERMOZ Alexis | 60 |
| 7 | SCHELLING Patrick | 61 |
| 12 | MARTIN Guillaume | 55 |
| 14 | SAGGIORATO Mirco | 58 |
| 15 | MEIJERS Daan | 70 |
| 17 | MEINTJES Louis | 58 |
| 20 | RAMIREZ Brayan Steven | 69 |
| 21 | BACKAERT Frederik | 78 |
| 29 | FUMEAUX Jonathan | 61 |
| 31 | COMBAUD Romain | 63 |
| 32 | TURGIS Jimmy | 63 |
| 33 | DOMONT Axel | 65 |
| 38 | CHEVRIER Clément | 56 |
| 39 | LIENHARD Fabian | 73 |
| 41 | PANASSENKO Nikita | 69 |
| 43 | PEREZ Anthony | 70 |
| 48 | GATE Aaron | 71 |
| 53 | BRÜNGGER Nico | 62 |
| 58 | MALDONADO Anthony | 57 |
| 60 | ZAKHAROV Artyom | 70 |