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 = -0.3 * weight + 55
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
Grivko
3
70 kgNibali
7
65 kgVisconti
9
63 kgRiccò
10
57 kgJaniaczyk
11
68 kgMonnerais
14
70 kgPiemontesi
15
61 kgProni
19
68 kgBelkov
24
71 kgErmeti
26
60 kgColli
29
73 kgAscani
32
75 kgCaccia
33
70 kgCataldo
38
64 kgRuss
49
62 kgLoubet
54
66 kgDi Grégorio
59
67 kgMinard
60
65 kgGatto
68
67 kgSintsov
80
62 kg
3
70 kgNibali
7
65 kgVisconti
9
63 kgRiccò
10
57 kgJaniaczyk
11
68 kgMonnerais
14
70 kgPiemontesi
15
61 kgProni
19
68 kgBelkov
24
71 kgErmeti
26
60 kgColli
29
73 kgAscani
32
75 kgCaccia
33
70 kgCataldo
38
64 kgRuss
49
62 kgLoubet
54
66 kgDi Grégorio
59
67 kgMinard
60
65 kgGatto
68
67 kgSintsov
80
62 kg
Weight (KG) →
Result →
75
57
3
80
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | GRIVKO Andrey | 70 |
| 7 | NIBALI Vincenzo | 65 |
| 9 | VISCONTI Giovanni | 63 |
| 10 | RICCÒ Riccardo | 57 |
| 11 | JANIACZYK Błażej | 68 |
| 14 | MONNERAIS Cyrille | 70 |
| 15 | PIEMONTESI Fabrice | 61 |
| 19 | PRONI Alessandro | 68 |
| 24 | BELKOV Maxim | 71 |
| 26 | ERMETI Giairo | 60 |
| 29 | COLLI Daniele | 73 |
| 32 | ASCANI Luca | 75 |
| 33 | CACCIA Diego | 70 |
| 38 | CATALDO Dario | 64 |
| 49 | RUSS Matthias | 62 |
| 54 | LOUBET Julien | 66 |
| 59 | DI GRÉGORIO Rémy | 67 |
| 60 | MINARD Sébastien | 65 |
| 68 | GATTO Oscar | 67 |
| 80 | SINTSOV Anton | 62 |