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 = -1.6 * weight + 125
This means that on average for every extra kilogram weight a rider loses -1.6 positions in the result.
van Dijk
1
71 kgAalerud
3
54 kgNorsgaard
5
65 kgBarker
6
56 kgBlasi
13
57 kgCopponi
18
55 kgMartín
19
58 kgSteels
20
55 kgKoster
21
56 kgFranz
22
52 kgRuiz Pérez
34
56 kgFrancis
39
56 kgFidanza
44
60 kgRuiz Pérez
46
55 kgLarrarte
52
63 kgRostovtseva
77
61 kgMissiaggia
82
53 kgAbaidullina
93
52 kg
1
71 kgAalerud
3
54 kgNorsgaard
5
65 kgBarker
6
56 kgBlasi
13
57 kgCopponi
18
55 kgMartín
19
58 kgSteels
20
55 kgKoster
21
56 kgFranz
22
52 kgRuiz Pérez
34
56 kgFrancis
39
56 kgFidanza
44
60 kgRuiz Pérez
46
55 kgLarrarte
52
63 kgRostovtseva
77
61 kgMissiaggia
82
53 kgAbaidullina
93
52 kg
Weight (KG) →
Result →
71
52
1
93
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VAN DIJK Ellen | 71 |
| 3 | AALERUD Katrine | 54 |
| 5 | NORSGAARD Emma | 65 |
| 6 | BARKER Elinor | 56 |
| 13 | BLASI Paula | 57 |
| 18 | COPPONI Clara | 55 |
| 19 | MARTÍN Sara | 58 |
| 20 | STEELS Claire | 55 |
| 21 | KOSTER Anouska | 56 |
| 22 | FRANZ Heidi | 52 |
| 34 | RUIZ PÉREZ Lucía | 56 |
| 39 | FRANCIS Jenaya | 56 |
| 44 | FIDANZA Martina | 60 |
| 46 | RUIZ PÉREZ Laura | 55 |
| 52 | LARRARTE Eukene | 63 |
| 77 | ROSTOVTSEVA Maria | 61 |
| 82 | MISSIAGGIA Alessia | 53 |
| 93 | ABAIDULLINA Inna | 52 |