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 = 2 * weight - 90
This means that on average for every extra kilogram weight a rider loses 2 positions in the result.
Riccò
10
57 kgErmeti
12
60 kgLoubet
15
66 kgPiemontesi
17
61 kgProni
18
68 kgColli
19
73 kgDi Grégorio
21
67 kgGrivko
22
70 kgJaniaczyk
29
68 kgNibali
30
65 kgBelkov
32
71 kgMinard
45
65 kgVisconti
46
63 kgCataldo
50
64 kgRuss
58
62 kgSintsov
59
62 kgCaccia
61
70 kgGatto
70
67 kgAscani
71
75 kgMonnerais
86
70 kgDall'Antonia
97
70 kg
10
57 kgErmeti
12
60 kgLoubet
15
66 kgPiemontesi
17
61 kgProni
18
68 kgColli
19
73 kgDi Grégorio
21
67 kgGrivko
22
70 kgJaniaczyk
29
68 kgNibali
30
65 kgBelkov
32
71 kgMinard
45
65 kgVisconti
46
63 kgCataldo
50
64 kgRuss
58
62 kgSintsov
59
62 kgCaccia
61
70 kgGatto
70
67 kgAscani
71
75 kgMonnerais
86
70 kgDall'Antonia
97
70 kg
Weight (KG) →
Result →
75
57
10
97
| # | Rider | Weight (KG) |
|---|---|---|
| 10 | RICCÒ Riccardo | 57 |
| 12 | ERMETI Giairo | 60 |
| 15 | LOUBET Julien | 66 |
| 17 | PIEMONTESI Fabrice | 61 |
| 18 | PRONI Alessandro | 68 |
| 19 | COLLI Daniele | 73 |
| 21 | DI GRÉGORIO Rémy | 67 |
| 22 | GRIVKO Andrey | 70 |
| 29 | JANIACZYK Błażej | 68 |
| 30 | NIBALI Vincenzo | 65 |
| 32 | BELKOV Maxim | 71 |
| 45 | MINARD Sébastien | 65 |
| 46 | VISCONTI Giovanni | 63 |
| 50 | CATALDO Dario | 64 |
| 58 | RUSS Matthias | 62 |
| 59 | SINTSOV Anton | 62 |
| 61 | CACCIA Diego | 70 |
| 70 | GATTO Oscar | 67 |
| 71 | ASCANI Luca | 75 |
| 86 | MONNERAIS Cyrille | 70 |
| 97 | DALL'ANTONIA Tiziano | 70 |