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 + 35
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Miholjević
2
72 kgHopkins
4
74 kgPetrucci
5
56 kgFoldager
6
69 kgMarcellusi
8
62 kgBaroni
10
63 kgDe Carlo
12
67 kgdel Toro
13
64 kgPiganzoli
14
61 kgBusatto
16
62 kgGuasco
18
64 kgTercero
21
65 kgToneatti
24
65 kgRaccani
27
64 kgLipowitz
32
68 kgDe Cassan
33
61 kgMontoli
34
66 kgTarolla
35
75 kgSandri
37
56 kg
2
72 kgHopkins
4
74 kgPetrucci
5
56 kgFoldager
6
69 kgMarcellusi
8
62 kgBaroni
10
63 kgDe Carlo
12
67 kgdel Toro
13
64 kgPiganzoli
14
61 kgBusatto
16
62 kgGuasco
18
64 kgTercero
21
65 kgToneatti
24
65 kgRaccani
27
64 kgLipowitz
32
68 kgDe Cassan
33
61 kgMontoli
34
66 kgTarolla
35
75 kgSandri
37
56 kg
Weight (KG) →
Result →
75
56
2
37
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | MIHOLJEVIĆ Fran | 72 |
| 4 | HOPKINS Dylan | 74 |
| 5 | PETRUCCI Mattia | 56 |
| 6 | FOLDAGER Anders | 69 |
| 8 | MARCELLUSI Martin | 62 |
| 10 | BARONI Alessandro | 63 |
| 12 | DE CARLO Giovanni | 67 |
| 13 | DEL TORO Isaac | 64 |
| 14 | PIGANZOLI Davide | 61 |
| 16 | BUSATTO Francesco | 62 |
| 18 | GUASCO Mattia | 64 |
| 21 | TERCERO Fernando | 65 |
| 24 | TONEATTI Davide | 65 |
| 27 | RACCANI Simone | 64 |
| 32 | LIPOWITZ Florian | 68 |
| 33 | DE CASSAN Davide | 61 |
| 34 | MONTOLI Andrea | 66 |
| 35 | TAROLLA Matteo | 75 |
| 37 | SANDRI Edoardo | 56 |