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 = 0.3 * weight + 18
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
Copponi
4
55 kgNorsgaard
9
65 kgRuiz Pérez
10
56 kgLarrarte
12
63 kgRuiz Pérez
15
55 kgFranz
18
52 kgBlasi
22
57 kgAalerud
25
54 kgAbaidullina
27
52 kgMartín
28
58 kgKoster
30
56 kgFrancis
35
56 kgvan Dijk
39
71 kgMissiaggia
41
53 kgBarker
53
56 kgRostovtseva
68
61 kgFidanza
91
60 kgSteels
99
55 kg
4
55 kgNorsgaard
9
65 kgRuiz Pérez
10
56 kgLarrarte
12
63 kgRuiz Pérez
15
55 kgFranz
18
52 kgBlasi
22
57 kgAalerud
25
54 kgAbaidullina
27
52 kgMartín
28
58 kgKoster
30
56 kgFrancis
35
56 kgvan Dijk
39
71 kgMissiaggia
41
53 kgBarker
53
56 kgRostovtseva
68
61 kgFidanza
91
60 kgSteels
99
55 kg
Weight (KG) →
Result →
71
52
4
99
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | COPPONI Clara | 55 |
| 9 | NORSGAARD Emma | 65 |
| 10 | RUIZ PÉREZ Lucía | 56 |
| 12 | LARRARTE Eukene | 63 |
| 15 | RUIZ PÉREZ Laura | 55 |
| 18 | FRANZ Heidi | 52 |
| 22 | BLASI Paula | 57 |
| 25 | AALERUD Katrine | 54 |
| 27 | ABAIDULLINA Inna | 52 |
| 28 | MARTÍN Sara | 58 |
| 30 | KOSTER Anouska | 56 |
| 35 | FRANCIS Jenaya | 56 |
| 39 | VAN DIJK Ellen | 71 |
| 41 | MISSIAGGIA Alessia | 53 |
| 53 | BARKER Elinor | 56 |
| 68 | ROSTOVTSEVA Maria | 61 |
| 91 | FIDANZA Martina | 60 |
| 99 | STEELS Claire | 55 |