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 = 0.7 * weight - 32
This means that on average for every extra kilogram weight a rider loses 0.7 positions in the result.
Ravasi
1
61 kgPavlič
3
65 kgTurek
4
72 kgRumac
5
71 kgSpreafico
6
69 kgNovak
8
70 kgGroßschartner
9
64 kgFranz
11
62 kgSoballa
14
71 kgKorošec
16
75 kgStash
17
77 kgDi Sante
19
62 kgPer
20
81 kgMalucelli
22
68 kgMyngheer
25
74 kgWillwohl
29
67 kgvan der Hoorn
31
73 kgde Keijzer
32
72.6 kg
1
61 kgPavlič
3
65 kgTurek
4
72 kgRumac
5
71 kgSpreafico
6
69 kgNovak
8
70 kgGroßschartner
9
64 kgFranz
11
62 kgSoballa
14
71 kgKorošec
16
75 kgStash
17
77 kgDi Sante
19
62 kgPer
20
81 kgMalucelli
22
68 kgMyngheer
25
74 kgWillwohl
29
67 kgvan der Hoorn
31
73 kgde Keijzer
32
72.6 kg
Weight (KG) →
Result →
81
61
1
32
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | RAVASI Edward | 61 |
| 3 | PAVLIČ Marko | 65 |
| 4 | TUREK Daniel | 72 |
| 5 | RUMAC Josip | 71 |
| 6 | SPREAFICO Matteo | 69 |
| 8 | NOVAK Domen | 70 |
| 9 | GROßSCHARTNER Felix | 64 |
| 11 | FRANZ Marcel | 62 |
| 14 | SOBALLA Carl | 71 |
| 16 | KOROŠEC Rok | 75 |
| 17 | STASH Mamyr | 77 |
| 19 | DI SANTE Antonio | 62 |
| 20 | PER David | 81 |
| 22 | MALUCELLI Matteo | 68 |
| 25 | MYNGHEER Daan | 74 |
| 29 | WILLWOHL Willi | 67 |
| 31 | VAN DER HOORN Taco | 73 |
| 32 | DE KEIJZER Gerd | 72.6 |