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 + 13
This means that on average for every extra kilogram weight a rider loses -0 positions in the result.
Pozdnyakov
1
67 kgRodríguez
1
62 kgArslanov
3
63 kgButs
4
68 kgÁvila
5
61 kgPernsteiner
6
55 kgDi Grégorio
7
67 kgNakane
8
55 kgPellaud
9
70 kgCully
11
73 kgvan Winden
12
70 kgPronskiy
13
58 kgNeilands
14
69 kgLiepiņš
15
67 kgSuzuki
16
58 kgDe Negri
18
61 kgLuchshenko
19
63 kgVasylyuk
20
65 kgOvechkin
21
61 kgChirico
22
58 kgRumac
24
71 kgUchima
25
63 kg
1
67 kgRodríguez
1
62 kgArslanov
3
63 kgButs
4
68 kgÁvila
5
61 kgPernsteiner
6
55 kgDi Grégorio
7
67 kgNakane
8
55 kgPellaud
9
70 kgCully
11
73 kgvan Winden
12
70 kgPronskiy
13
58 kgNeilands
14
69 kgLiepiņš
15
67 kgSuzuki
16
58 kgDe Negri
18
61 kgLuchshenko
19
63 kgVasylyuk
20
65 kgOvechkin
21
61 kgChirico
22
58 kgRumac
24
71 kgUchima
25
63 kg
Weight (KG) →
Result →
73
55
1
25
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | POZDNYAKOV Kirill | 67 |
| 1 | RODRÍGUEZ Jhon Anderson | 62 |
| 3 | ARSLANOV Ildar | 63 |
| 4 | BUTS Vitaliy | 68 |
| 5 | ÁVILA Edwin | 61 |
| 6 | PERNSTEINER Hermann | 55 |
| 7 | DI GRÉGORIO Rémy | 67 |
| 8 | NAKANE Hideto | 55 |
| 9 | PELLAUD Simon | 70 |
| 11 | CULLY Ján Andrej | 73 |
| 12 | VAN WINDEN Dennis | 70 |
| 13 | PRONSKIY Vadim | 58 |
| 14 | NEILANDS Krists | 69 |
| 15 | LIEPIŅŠ Emīls | 67 |
| 16 | SUZUKI Ryu | 58 |
| 18 | DE NEGRI Pier Paolo | 61 |
| 19 | LUCHSHENKO Sergey | 63 |
| 20 | VASYLYUK Andriy | 65 |
| 21 | OVECHKIN Artem | 61 |
| 22 | CHIRICO Luca | 58 |
| 24 | RUMAC Josip | 71 |
| 25 | UCHIMA Kohei | 63 |