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 * weight + 15
This means that on average for every extra kilogram weight a rider loses -0 positions in the result.
Lobato
1
64 kgBouhanni
2
65 kgTronet
3
67 kgLe Bon
4
70 kgDaniel
5
74 kgGavazzi
6
65 kgGeniez
7
68 kgRusso
8
74 kgTurgis
9
70 kgMaldonado
10
57 kgPinot
11
63 kgNieuwenhuis
12
71 kgGiraud
14
71 kgOurselin
15
70 kgRossetto
16
68 kgVereecken
17
72 kgStüssi
18
68 kgMadouas
19
71 kgLe Roux
20
59 kgSchinnagel
21
68 kgBouet
22
67 kgBenfatto
23
71 kgLuchshenko
25
63 kg
1
64 kgBouhanni
2
65 kgTronet
3
67 kgLe Bon
4
70 kgDaniel
5
74 kgGavazzi
6
65 kgGeniez
7
68 kgRusso
8
74 kgTurgis
9
70 kgMaldonado
10
57 kgPinot
11
63 kgNieuwenhuis
12
71 kgGiraud
14
71 kgOurselin
15
70 kgRossetto
16
68 kgVereecken
17
72 kgStüssi
18
68 kgMadouas
19
71 kgLe Roux
20
59 kgSchinnagel
21
68 kgBouet
22
67 kgBenfatto
23
71 kgLuchshenko
25
63 kg
Weight (KG) →
Result →
74
57
1
25
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | LOBATO Juan José | 64 |
| 2 | BOUHANNI Nacer | 65 |
| 3 | TRONET Steven | 67 |
| 4 | LE BON Johan | 70 |
| 5 | DANIEL Maxime | 74 |
| 6 | GAVAZZI Francesco | 65 |
| 7 | GENIEZ Alexandre | 68 |
| 8 | RUSSO Clément | 74 |
| 9 | TURGIS Anthony | 70 |
| 10 | MALDONADO Anthony | 57 |
| 11 | PINOT Thibaut | 63 |
| 12 | NIEUWENHUIS Joris | 71 |
| 14 | GIRAUD Benjamin | 71 |
| 15 | OURSELIN Paul | 70 |
| 16 | ROSSETTO Stéphane | 68 |
| 17 | VEREECKEN Nicolas | 72 |
| 18 | STÜSSI Colin | 68 |
| 19 | MADOUAS Valentin | 71 |
| 20 | LE ROUX Romain | 59 |
| 21 | SCHINNAGEL Johannes | 68 |
| 22 | BOUET Maxime | 67 |
| 23 | BENFATTO Marco | 71 |
| 25 | LUCHSHENKO Sergey | 63 |