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 = 0.7 * weight - 18
This means that on average for every extra kilogram weight a rider loses 0.7 positions in the result.
Rossetto
1
68 kgBarguil
2
61 kgSchelling
4
61 kgVuillermoz
5
60 kgMeintjes
6
58 kgMartin
12
55 kgBackaert
13
78 kgDomont
20
65 kgChevrier
22
56 kgMeijers
24
70 kgTurgis
26
63 kgSaggiorato
29
58 kgCombaud
30
63 kgFumeaux
33
61 kgRamirez
34
69 kgPanassenko
39
69 kgLienhard
40
73 kgGate
42
71 kgPerez
52
70 kgMaldonado
56
57 kgBrüngger
57
62 kgZakharov
60
70 kg
1
68 kgBarguil
2
61 kgSchelling
4
61 kgVuillermoz
5
60 kgMeintjes
6
58 kgMartin
12
55 kgBackaert
13
78 kgDomont
20
65 kgChevrier
22
56 kgMeijers
24
70 kgTurgis
26
63 kgSaggiorato
29
58 kgCombaud
30
63 kgFumeaux
33
61 kgRamirez
34
69 kgPanassenko
39
69 kgLienhard
40
73 kgGate
42
71 kgPerez
52
70 kgMaldonado
56
57 kgBrüngger
57
62 kgZakharov
60
70 kg
Weight (KG) →
Result →
78
55
1
60
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ROSSETTO Stéphane | 68 |
| 2 | BARGUIL Warren | 61 |
| 4 | SCHELLING Patrick | 61 |
| 5 | VUILLERMOZ Alexis | 60 |
| 6 | MEINTJES Louis | 58 |
| 12 | MARTIN Guillaume | 55 |
| 13 | BACKAERT Frederik | 78 |
| 20 | DOMONT Axel | 65 |
| 22 | CHEVRIER Clément | 56 |
| 24 | MEIJERS Daan | 70 |
| 26 | TURGIS Jimmy | 63 |
| 29 | SAGGIORATO Mirco | 58 |
| 30 | COMBAUD Romain | 63 |
| 33 | FUMEAUX Jonathan | 61 |
| 34 | RAMIREZ Brayan Steven | 69 |
| 39 | PANASSENKO Nikita | 69 |
| 40 | LIENHARD Fabian | 73 |
| 42 | GATE Aaron | 71 |
| 52 | PEREZ Anthony | 70 |
| 56 | MALDONADO Anthony | 57 |
| 57 | BRÜNGGER Nico | 62 |
| 60 | ZAKHAROV Artyom | 70 |