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 + 13
This means that on average for every extra kilogram weight a rider loses -0 positions in the result.
Sarreau
1
76 kgCoquard
2
59 kgBarbier
3
79 kgWippert
4
75 kgLecroq
5
70 kgDupont
6
72 kgRickaert
7
88 kgTouzé
8
69 kgDe Buyst
9
72 kgBouhanni
10
65 kgVermeltfoort
11
85 kgCombaud
12
63 kgGrosu
13
68 kgAristi
14
72 kgIdjouadiene
15
69 kgŠiškevičius
16
80 kgTrarieux
17
71 kgCapiot
18
69 kg
1
76 kgCoquard
2
59 kgBarbier
3
79 kgWippert
4
75 kgLecroq
5
70 kgDupont
6
72 kgRickaert
7
88 kgTouzé
8
69 kgDe Buyst
9
72 kgBouhanni
10
65 kgVermeltfoort
11
85 kgCombaud
12
63 kgGrosu
13
68 kgAristi
14
72 kgIdjouadiene
15
69 kgŠiškevičius
16
80 kgTrarieux
17
71 kgCapiot
18
69 kg
Weight (KG) →
Result →
88
59
1
18
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SARREAU Marc | 76 |
| 2 | COQUARD Bryan | 59 |
| 3 | BARBIER Rudy | 79 |
| 4 | WIPPERT Wouter | 75 |
| 5 | LECROQ Jérémy | 70 |
| 6 | DUPONT Timothy | 72 |
| 7 | RICKAERT Jonas | 88 |
| 8 | TOUZÉ Damien | 69 |
| 9 | DE BUYST Jasper | 72 |
| 10 | BOUHANNI Nacer | 65 |
| 11 | VERMELTFOORT Coen | 85 |
| 12 | COMBAUD Romain | 63 |
| 13 | GROSU Eduard-Michael | 68 |
| 14 | ARISTI Mikel | 72 |
| 15 | IDJOUADIENE Pierre | 69 |
| 16 | ŠIŠKEVIČIUS Evaldas | 80 |
| 17 | TRARIEUX Julien | 71 |
| 18 | CAPIOT Amaury | 69 |