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 + 10
This means that on average for every extra kilogram weight a rider loses -0 positions in the result.
Palini
1
67 kgFerrari
2
73 kgSilvestre
3
78 kgGiraud
4
71 kgLaas
5
76 kgKamyshev
6
67 kgButs
7
68 kgGrosu
8
68 kgVerschoor
9
74.5 kgDal Col
10
80 kgEvans
11
70 kgŠiškevičius
12
80 kgVaitkus
13
75 kgAlizadeh
14
62 kgHaddi
15
63 kgSaleh
16
70 kgWilliams
17
75 kgLatoń
18
76 kg
1
67 kgFerrari
2
73 kgSilvestre
3
78 kgGiraud
4
71 kgLaas
5
76 kgKamyshev
6
67 kgButs
7
68 kgGrosu
8
68 kgVerschoor
9
74.5 kgDal Col
10
80 kgEvans
11
70 kgŠiškevičius
12
80 kgVaitkus
13
75 kgAlizadeh
14
62 kgHaddi
15
63 kgSaleh
16
70 kgWilliams
17
75 kgLatoń
18
76 kg
Weight (KG) →
Result →
80
62
1
18
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PALINI Andrea | 67 |
| 2 | FERRARI Roberto | 73 |
| 3 | SILVESTRE Fábio | 78 |
| 4 | GIRAUD Benjamin | 71 |
| 5 | LAAS Martin | 76 |
| 6 | KAMYSHEV Arman | 67 |
| 7 | BUTS Vitaliy | 68 |
| 8 | GROSU Eduard-Michael | 68 |
| 9 | VERSCHOOR Martijn | 74.5 |
| 10 | DAL COL Andrea | 80 |
| 11 | EVANS Brad | 70 |
| 12 | ŠIŠKEVIČIUS Evaldas | 80 |
| 13 | VAITKUS Tomas | 75 |
| 14 | ALIZADEH Hossein | 62 |
| 15 | HADDI Soufiane | 63 |
| 16 | SALEH Mohd Harrif | 70 |
| 17 | WILLIAMS Christopher | 75 |
| 18 | LATOŃ Eryk | 76 |