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 = 0.4 * weight - 17
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
Carthy
1
69 kgElissonde
2
52 kgParra
3
51 kgGouault
4
61 kgDe Tier
5
60 kgMolina
6
57 kgGuillemois
7
66 kgLehner
8
63 kgBouhanni
10
70 kgSaint-Martin
11
66 kgSole
12
67 kgTxoperena
14
67 kgWarnier
15
71 kgPaillot
16
72 kgInsausti
17
89 kgChetout
18
70 kgMeiler
21
65 kgGonzález
22
63 kg
1
69 kgElissonde
2
52 kgParra
3
51 kgGouault
4
61 kgDe Tier
5
60 kgMolina
6
57 kgGuillemois
7
66 kgLehner
8
63 kgBouhanni
10
70 kgSaint-Martin
11
66 kgSole
12
67 kgTxoperena
14
67 kgWarnier
15
71 kgPaillot
16
72 kgInsausti
17
89 kgChetout
18
70 kgMeiler
21
65 kgGonzález
22
63 kg
Weight (KG) →
Result →
89
51
1
22
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | CARTHY Hugh | 69 |
| 2 | ELISSONDE Kenny | 52 |
| 3 | PARRA Heiner Rodrigo | 51 |
| 4 | GOUAULT Pierre | 61 |
| 5 | DE TIER Floris | 60 |
| 6 | MOLINA Antonio | 57 |
| 7 | GUILLEMOIS Romain | 66 |
| 8 | LEHNER Daniel | 63 |
| 10 | BOUHANNI Rayane | 70 |
| 11 | SAINT-MARTIN Clément | 66 |
| 12 | SOLE Arnau | 67 |
| 14 | TXOPERENA Beñat | 67 |
| 15 | WARNIER Antoine | 71 |
| 16 | PAILLOT Yoann | 72 |
| 17 | INSAUSTI Jon Ander | 89 |
| 18 | CHETOUT Loïc | 70 |
| 21 | MEILER Lukas | 65 |
| 22 | GONZÁLEZ Adrián | 63 |