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 - 34
This means that on average for every extra kilogram weight a rider loses 0.7 positions in the result.
Skjelmose
1
65 kgVansevenant
2
60 kgFancellu
3
62 kgJegat
4
59 kgVinokurov
5
65 kgWilksch
6
62 kgChevalier
7
60 kgJuillard
8
60 kgHealy
9
65 kgParet-Peintre
10
52 kgPeter
11
63 kgNys
12
64 kgPiccolo
13
64 kgBoileau
15
57 kgStewart
16
66 kgKretschy
17
63 kgKluckers
20
71 kgVan Tricht
21
64 kgLeclainche
24
65 kgNurlykhassym
25
65 kgRangel
26
64 kg
1
65 kgVansevenant
2
60 kgFancellu
3
62 kgJegat
4
59 kgVinokurov
5
65 kgWilksch
6
62 kgChevalier
7
60 kgJuillard
8
60 kgHealy
9
65 kgParet-Peintre
10
52 kgPeter
11
63 kgNys
12
64 kgPiccolo
13
64 kgBoileau
15
57 kgStewart
16
66 kgKretschy
17
63 kgKluckers
20
71 kgVan Tricht
21
64 kgLeclainche
24
65 kgNurlykhassym
25
65 kgRangel
26
64 kg
Weight (KG) →
Result →
71
52
1
26
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SKJELMOSE Mattias | 65 |
| 2 | VANSEVENANT Mauri | 60 |
| 3 | FANCELLU Alessandro | 62 |
| 4 | JEGAT Jordan | 59 |
| 5 | VINOKUROV Nicolas | 65 |
| 6 | WILKSCH Hannes | 62 |
| 7 | CHEVALIER Maxime | 60 |
| 8 | JUILLARD Maximilien | 60 |
| 9 | HEALY Ben | 65 |
| 10 | PARET-PEINTRE Valentin | 52 |
| 11 | PETER Jannis | 63 |
| 12 | NYS Thibau | 64 |
| 13 | PICCOLO Andrea | 64 |
| 15 | BOILEAU Alan | 57 |
| 16 | STEWART Jake | 66 |
| 17 | KRETSCHY Moritz | 63 |
| 20 | KLUCKERS Arthur | 71 |
| 21 | VAN TRICHT Stan | 64 |
| 24 | LECLAINCHE Gwen | 65 |
| 25 | NURLYKHASSYM Nurbergen | 65 |
| 26 | RANGEL Vinícius | 64 |