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.
Ludwig
1
55 kgPaternoster
2
53 kgWiebes
3
60 kgGuazzini
4
65 kgGrossetête
8
60 kgTeutenberg
9
53 kgNagengast
11
61 kgCastrique
12
63 kgVan Twisk
14
53 kgTruyen
17
55 kgConsonni
21
59 kgJounier
22
58 kgvan Houtum
23
55 kgPollicini
29
57 kgLaurance
30
62 kgVerhulst-Wild
35
58 kg
1
55 kgPaternoster
2
53 kgWiebes
3
60 kgGuazzini
4
65 kgGrossetête
8
60 kgTeutenberg
9
53 kgNagengast
11
61 kgCastrique
12
63 kgVan Twisk
14
53 kgTruyen
17
55 kgConsonni
21
59 kgJounier
22
58 kgvan Houtum
23
55 kgPollicini
29
57 kgLaurance
30
62 kgVerhulst-Wild
35
58 kg
Weight (KG) →
Result →
65
53
1
35
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | LUDWIG Hannah | 55 |
| 2 | PATERNOSTER Letizia | 53 |
| 3 | WIEBES Lorena | 60 |
| 4 | GUAZZINI Vittoria | 65 |
| 8 | GROSSETÊTE Maëlle | 60 |
| 9 | TEUTENBERG Lea Lin | 53 |
| 11 | NAGENGAST Fleur | 61 |
| 12 | CASTRIQUE Alana | 63 |
| 14 | VAN TWISK Abigail | 53 |
| 17 | TRUYEN Marthe | 55 |
| 21 | CONSONNI Chiara | 59 |
| 22 | JOUNIER Lucie | 58 |
| 23 | VAN HOUTUM Céline | 55 |
| 29 | POLLICINI Silvia | 57 |
| 30 | LAURANCE Typhaine | 62 |
| 35 | VERHULST-WILD Gladys | 58 |