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 * weight + 21
This means that on average for every extra kilogram weight a rider loses 0 positions in the result.
Foldager
1
69 kgEpis
3
64 kgRomele
5
71 kgSandri
7
56 kgMontoli
10
66 kgNovák
11
64 kgGilabert
13
57 kgVinokurov
14
65 kgDe Cassan
15
61 kgZeray
18
57 kgCretti
19
63 kgToneatti
22
65 kgDe Pretto
27
58 kgAndreaus
28
68 kgLaptev
30
68 kgZanini
33
62 kgZiherl
35
74 kgIacomoni
36
69 kgAlleva
37
65 kgTuka
45
57 kgRaccagni
54
63 kg
1
69 kgEpis
3
64 kgRomele
5
71 kgSandri
7
56 kgMontoli
10
66 kgNovák
11
64 kgGilabert
13
57 kgVinokurov
14
65 kgDe Cassan
15
61 kgZeray
18
57 kgCretti
19
63 kgToneatti
22
65 kgDe Pretto
27
58 kgAndreaus
28
68 kgLaptev
30
68 kgZanini
33
62 kgZiherl
35
74 kgIacomoni
36
69 kgAlleva
37
65 kgTuka
45
57 kgRaccagni
54
63 kg
Weight (KG) →
Result →
74
56
1
54
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | FOLDAGER Anders | 69 |
| 3 | EPIS Giosuè | 64 |
| 5 | ROMELE Alessandro | 71 |
| 7 | SANDRI Edoardo | 56 |
| 10 | MONTOLI Andrea | 66 |
| 11 | NOVÁK Pavel | 64 |
| 13 | GILABERT Arnau | 57 |
| 14 | VINOKUROV Nicolas | 65 |
| 15 | DE CASSAN Davide | 61 |
| 18 | ZERAY Nahom | 57 |
| 19 | CRETTI Luca | 63 |
| 22 | TONEATTI Davide | 65 |
| 27 | DE PRETTO Davide | 58 |
| 28 | ANDREAUS Marco | 68 |
| 30 | LAPTEV Savelii | 68 |
| 33 | ZANINI Simone | 62 |
| 35 | ZIHERL Luka | 74 |
| 36 | IACOMONI Federico | 69 |
| 37 | ALLEVA Edoardo Mauro | 65 |
| 45 | TUKA Samuel | 57 |
| 54 | RACCAGNI Gabriele | 63 |