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 - 15
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
Habeaux
1
68 kgWallays
2
77 kgPremont
3
69 kgLaborie
4
67 kgJulius
5
59 kgSlik
6
71 kgLammertink
9
61 kgPetit
10
80 kgAntonini
11
75 kgVan Lerberghe
12
83 kgKrieger
13
71 kgPardini
14
68 kgIsta
15
70 kgRoelandts
16
78 kgHollenstein
17
80 kgBaugnies
18
69 kgBrändle
19
80 kgVan Zummeren
20
73 kg
1
68 kgWallays
2
77 kgPremont
3
69 kgLaborie
4
67 kgJulius
5
59 kgSlik
6
71 kgLammertink
9
61 kgPetit
10
80 kgAntonini
11
75 kgVan Lerberghe
12
83 kgKrieger
13
71 kgPardini
14
68 kgIsta
15
70 kgRoelandts
16
78 kgHollenstein
17
80 kgBaugnies
18
69 kgBrändle
19
80 kgVan Zummeren
20
73 kg
Weight (KG) →
Result →
83
59
1
20
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | HABEAUX Grégory | 68 |
| 2 | WALLAYS Jelle | 77 |
| 3 | PREMONT Christophe | 69 |
| 4 | LABORIE Christophe | 67 |
| 5 | JULIUS Jayde | 59 |
| 6 | SLIK Ivar | 71 |
| 9 | LAMMERTINK Maurits | 61 |
| 10 | PETIT Adrien | 80 |
| 11 | ANTONINI Simone | 75 |
| 12 | VAN LERBERGHE Bert | 83 |
| 13 | KRIEGER Alexander | 71 |
| 14 | PARDINI Olivier | 68 |
| 15 | ISTA Kevyn | 70 |
| 16 | ROELANDTS Jürgen | 78 |
| 17 | HOLLENSTEIN Reto | 80 |
| 18 | BAUGNIES Jérôme | 69 |
| 19 | BRÄNDLE Matthias | 80 |
| 20 | VAN ZUMMEREN Stef | 73 |