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 = 0.3 * weight - 10
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
Urruty
1
59 kgDewulf
2
74 kgRestrepo
3
73 kgBayer
4
71 kgVan Niekerk
5
64 kgGalván
6
69 kgCosnefroy
7
65 kgAdrià
8
64 kgRubio
9
81 kgRobeet
10
75 kgCoquard
11
59 kgPaillot
12
72 kgFuentes
13
77 kgJerman
14
67 kgWalsleben
15
66 kgSinkeldam
16
77 kgTrarieux
17
71 kgGuarnieri
18
80 kg
1
59 kgDewulf
2
74 kgRestrepo
3
73 kgBayer
4
71 kgVan Niekerk
5
64 kgGalván
6
69 kgCosnefroy
7
65 kgAdrià
8
64 kgRubio
9
81 kgRobeet
10
75 kgCoquard
11
59 kgPaillot
12
72 kgFuentes
13
77 kgJerman
14
67 kgWalsleben
15
66 kgSinkeldam
16
77 kgTrarieux
17
71 kgGuarnieri
18
80 kg
Weight (KG) →
Result →
81
59
1
18
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | URRUTY Maxime | 59 |
| 2 | DEWULF Stan | 74 |
| 3 | RESTREPO Jhonatan | 73 |
| 4 | BAYER Tobias | 71 |
| 5 | VAN NIEKERK Morné | 64 |
| 6 | GALVÁN Francisco | 69 |
| 7 | COSNEFROY Benoît | 65 |
| 8 | ADRIÀ Roger | 64 |
| 9 | RUBIO Diego | 81 |
| 10 | ROBEET Ludovic | 75 |
| 11 | COQUARD Bryan | 59 |
| 12 | PAILLOT Yoann | 72 |
| 13 | FUENTES Ángel | 77 |
| 14 | JERMAN Žiga | 67 |
| 15 | WALSLEBEN Philipp | 66 |
| 16 | SINKELDAM Ramon | 77 |
| 17 | TRARIEUX Julien | 71 |
| 18 | GUARNIERI Jacopo | 80 |