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 + 35
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
Groenewegen
1
70 kgBauhaus
2
75 kgMoschetti
3
73 kgAniołkowski
4
68 kgGonzález
5
68 kgMurn
6
77 kgSchelling
7
66 kgFroidevaux
8
71 kgKalojíros
9
68 kgBarrenetxea
10
74 kgBarceló
11
65 kgCanal
12
70 kgGabburo
13
63 kgGarosio
14
58 kgColnaghi
15
63 kgGarcía Pierna
16
67 kgHodeg
17
76 kgSkok
18
73 kgUlissi
19
63 kgKelemen
20
70 kg
1
70 kgBauhaus
2
75 kgMoschetti
3
73 kgAniołkowski
4
68 kgGonzález
5
68 kgMurn
6
77 kgSchelling
7
66 kgFroidevaux
8
71 kgKalojíros
9
68 kgBarrenetxea
10
74 kgBarceló
11
65 kgCanal
12
70 kgGabburo
13
63 kgGarosio
14
58 kgColnaghi
15
63 kgGarcía Pierna
16
67 kgHodeg
17
76 kgSkok
18
73 kgUlissi
19
63 kgKelemen
20
70 kg
Weight (KG) →
Result →
77
58
1
20
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GROENEWEGEN Dylan | 70 |
| 2 | BAUHAUS Phil | 75 |
| 3 | MOSCHETTI Matteo | 73 |
| 4 | ANIOŁKOWSKI Stanisław | 68 |
| 5 | GONZÁLEZ David | 68 |
| 6 | MURN Boštjan | 77 |
| 7 | SCHELLING Ide | 66 |
| 8 | FROIDEVAUX Robin | 71 |
| 9 | KALOJÍROS Tomáš | 68 |
| 10 | BARRENETXEA Jon | 74 |
| 11 | BARCELÓ Fernando | 65 |
| 12 | CANAL Carlos | 70 |
| 13 | GABBURO Davide | 63 |
| 14 | GAROSIO Andrea | 58 |
| 15 | COLNAGHI Luca | 63 |
| 16 | GARCÍA PIERNA Raúl | 67 |
| 17 | HODEG Álvaro José | 76 |
| 18 | SKOK Anže | 73 |
| 19 | ULISSI Diego | 63 |
| 20 | KELEMEN Petr | 70 |