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 = -0.6 * weight + 71
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
Proni
1
68 kgGrivko
2
70 kgJaniaczyk
3
68 kgLoubet
5
66 kgColli
7
73 kgDi Grégorio
17
67 kgErmeti
19
60 kgNibali
20
65 kgPiemontesi
32
61 kgMinard
35
65 kgRiccò
37
57 kgCaccia
39
70 kgRuss
41
62 kgAscani
42
75 kgVisconti
43
63 kgBelkov
48
71 kgCataldo
52
64 kgMonnerais
53
70 kgGatto
57
67 kgDall'Antonia
67
70 kgSintsov
76
62 kg
1
68 kgGrivko
2
70 kgJaniaczyk
3
68 kgLoubet
5
66 kgColli
7
73 kgDi Grégorio
17
67 kgErmeti
19
60 kgNibali
20
65 kgPiemontesi
32
61 kgMinard
35
65 kgRiccò
37
57 kgCaccia
39
70 kgRuss
41
62 kgAscani
42
75 kgVisconti
43
63 kgBelkov
48
71 kgCataldo
52
64 kgMonnerais
53
70 kgGatto
57
67 kgDall'Antonia
67
70 kgSintsov
76
62 kg
Weight (KG) →
Result →
75
57
1
76
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PRONI Alessandro | 68 |
| 2 | GRIVKO Andrey | 70 |
| 3 | JANIACZYK Błażej | 68 |
| 5 | LOUBET Julien | 66 |
| 7 | COLLI Daniele | 73 |
| 17 | DI GRÉGORIO Rémy | 67 |
| 19 | ERMETI Giairo | 60 |
| 20 | NIBALI Vincenzo | 65 |
| 32 | PIEMONTESI Fabrice | 61 |
| 35 | MINARD Sébastien | 65 |
| 37 | RICCÒ Riccardo | 57 |
| 39 | CACCIA Diego | 70 |
| 41 | RUSS Matthias | 62 |
| 42 | ASCANI Luca | 75 |
| 43 | VISCONTI Giovanni | 63 |
| 48 | BELKOV Maxim | 71 |
| 52 | CATALDO Dario | 64 |
| 53 | MONNERAIS Cyrille | 70 |
| 57 | GATTO Oscar | 67 |
| 67 | DALL'ANTONIA Tiziano | 70 |
| 76 | SINTSOV Anton | 62 |