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 = 0.1 * weight + 9
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
Niemiec
1
62 kgKoshevoy
2
62.5 kgRosón
3
62 kgSchulting
4
70 kgCieślik
5
65 kgDi Grégorio
6
67 kgHirt
9
62 kgBaldo
10
73 kgZhupa
11
78 kgVilela
12
59 kgPiedra
13
61 kgMalaguti
14
67 kgFinetto
15
62 kgPacher
16
62 kgBroeckx
17
73 kgHrinkow
18
61 kgStalnov
19
63 kgHník
20
57 kgPluciński
21
59 kgGrosu
22
68 kgGonçalves
23
70 kgMihaylov
24
70 kgLaborie
25
67 kg
1
62 kgKoshevoy
2
62.5 kgRosón
3
62 kgSchulting
4
70 kgCieślik
5
65 kgDi Grégorio
6
67 kgHirt
9
62 kgBaldo
10
73 kgZhupa
11
78 kgVilela
12
59 kgPiedra
13
61 kgMalaguti
14
67 kgFinetto
15
62 kgPacher
16
62 kgBroeckx
17
73 kgHrinkow
18
61 kgStalnov
19
63 kgHník
20
57 kgPluciński
21
59 kgGrosu
22
68 kgGonçalves
23
70 kgMihaylov
24
70 kgLaborie
25
67 kg
Weight (KG) →
Result →
78
57
1
25
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | NIEMIEC Przemysław | 62 |
| 2 | KOSHEVOY Ilia | 62.5 |
| 3 | ROSÓN Jaime | 62 |
| 4 | SCHULTING Peter | 70 |
| 5 | CIEŚLIK Paweł | 65 |
| 6 | DI GRÉGORIO Rémy | 67 |
| 9 | HIRT Jan | 62 |
| 10 | BALDO Nicolas | 73 |
| 11 | ZHUPA Eugert | 78 |
| 12 | VILELA Ricardo | 59 |
| 13 | PIEDRA Antonio | 61 |
| 14 | MALAGUTI Alessandro | 67 |
| 15 | FINETTO Mauro | 62 |
| 16 | PACHER Quentin | 62 |
| 17 | BROECKX Stig | 73 |
| 18 | HRINKOW Dominik | 61 |
| 19 | STALNOV Nikita | 63 |
| 20 | HNÍK Karel | 57 |
| 21 | PLUCIŃSKI Leszek | 59 |
| 22 | GROSU Eduard-Michael | 68 |
| 23 | GONÇALVES José | 70 |
| 24 | MIHAYLOV Nikolay | 70 |
| 25 | LABORIE Christophe | 67 |