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 = 0.2 * weight - 1
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Benoot
1
72 kgTurgis
2
70 kgHerklotz
3
68 kgMoscon
4
71 kgMas
5
61 kgGaudu
6
53 kgNych
7
74 kgGeoghegan Hart
8
65 kgAguirre
10
55 kgOsorio
11
65 kgCarretero
12
67 kgBico
13
64 kgKuss
14
61 kgReyes
15
55 kgArslanov
16
63 kgPedersen
17
70 kgWürtz Schmidt
18
70 kgOien
19
68 kgLooij
22
75 kgMullen
24
77 kg
1
72 kgTurgis
2
70 kgHerklotz
3
68 kgMoscon
4
71 kgMas
5
61 kgGaudu
6
53 kgNych
7
74 kgGeoghegan Hart
8
65 kgAguirre
10
55 kgOsorio
11
65 kgCarretero
12
67 kgBico
13
64 kgKuss
14
61 kgReyes
15
55 kgArslanov
16
63 kgPedersen
17
70 kgWürtz Schmidt
18
70 kgOien
19
68 kgLooij
22
75 kgMullen
24
77 kg
Weight (KG) →
Result →
77
53
1
24
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BENOOT Tiesj | 72 |
| 2 | TURGIS Anthony | 70 |
| 3 | HERKLOTZ Silvio | 68 |
| 4 | MOSCON Gianni | 71 |
| 5 | MAS Enric | 61 |
| 6 | GAUDU David | 53 |
| 7 | NYCH Artem | 74 |
| 8 | GEOGHEGAN HART Tao | 65 |
| 10 | AGUIRRE Hernán Ricardo | 55 |
| 11 | OSORIO Juan Felipe | 65 |
| 12 | CARRETERO Héctor | 67 |
| 13 | BICO Nuno | 64 |
| 14 | KUSS Sepp | 61 |
| 15 | REYES Aldemar | 55 |
| 16 | ARSLANOV Ildar | 63 |
| 17 | PEDERSEN Mads | 70 |
| 18 | WÜRTZ SCHMIDT Mads | 70 |
| 19 | OIEN Justin | 68 |
| 22 | LOOIJ André | 75 |
| 24 | MULLEN Ryan | 77 |