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.
Soupe
1
70 kgTesson
2
59 kgSalby
3
68 kgMulubrhan
4
60 kgBarthe
8
70 kgBerhane
9
66 kgBlouwe
10
71 kgRostovtsev
11
73 kgAngulo
12
67 kgMayer
13
64 kgAlleno
15
69 kgLauk
16
69 kgByiza Uhiriwe
18
60 kgFernández
19
78 kgLagab
21
63 kgRougier-Lagane
22
69 kgRogora
23
65 kgOurselin
25
70 kgManzin
26
69 kgTeugels
29
64 kgKadota
30
65 kgGuerin
37
65 kg
1
70 kgTesson
2
59 kgSalby
3
68 kgMulubrhan
4
60 kgBarthe
8
70 kgBerhane
9
66 kgBlouwe
10
71 kgRostovtsev
11
73 kgAngulo
12
67 kgMayer
13
64 kgAlleno
15
69 kgLauk
16
69 kgByiza Uhiriwe
18
60 kgFernández
19
78 kgLagab
21
63 kgRougier-Lagane
22
69 kgRogora
23
65 kgOurselin
25
70 kgManzin
26
69 kgTeugels
29
64 kgKadota
30
65 kgGuerin
37
65 kg
Weight (KG) →
Result →
78
59
1
37
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SOUPE Geoffrey | 70 |
| 2 | TESSON Jason | 59 |
| 3 | SALBY Alexander | 68 |
| 4 | MULUBRHAN Henok | 60 |
| 8 | BARTHE Cyril | 70 |
| 9 | BERHANE Natnael | 66 |
| 10 | BLOUWE Louis | 71 |
| 11 | ROSTOVTSEV Sergey | 73 |
| 12 | ANGULO Antonio | 67 |
| 13 | MAYER Alexandre | 64 |
| 15 | ALLENO Clément | 69 |
| 16 | LAUK Karl Patrick | 69 |
| 18 | BYIZA UHIRIWE Renus | 60 |
| 19 | FERNÁNDEZ Miguel Ángel | 78 |
| 21 | LAGAB Azzedine | 63 |
| 22 | ROUGIER-LAGANE Christopher | 69 |
| 23 | ROGORA Kiya | 65 |
| 25 | OURSELIN Paul | 70 |
| 26 | MANZIN Lorrenzo | 69 |
| 29 | TEUGELS Lennert | 64 |
| 30 | KADOTA Yusuke | 65 |
| 37 | GUERIN Alexis | 65 |