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 = 0.4 * weight - 15
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
Pernsteiner
1
55 kgSbaragli
2
74 kgGasparotto
3
65 kgUlissi
4
63 kgVisconti
5
63 kgPozzovivo
6
53 kgCiccone
7
58 kgNibali
8
65 kgVendrame
9
60 kgTorres
11
56 kgCanola
12
66 kgKoshevoy
14
62.5 kgNych
16
74 kgOrsini
17
67 kgTurek
18
72 kgVelasco
20
59 kgSpreafico
22
69 kgGarosio
23
58 kgVlasov
25
68 kgGanna
28
83 kgRovny
29
62 kg
1
55 kgSbaragli
2
74 kgGasparotto
3
65 kgUlissi
4
63 kgVisconti
5
63 kgPozzovivo
6
53 kgCiccone
7
58 kgNibali
8
65 kgVendrame
9
60 kgTorres
11
56 kgCanola
12
66 kgKoshevoy
14
62.5 kgNych
16
74 kgOrsini
17
67 kgTurek
18
72 kgVelasco
20
59 kgSpreafico
22
69 kgGarosio
23
58 kgVlasov
25
68 kgGanna
28
83 kgRovny
29
62 kg
Weight (KG) →
Result →
83
53
1
29
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PERNSTEINER Hermann | 55 |
| 2 | SBARAGLI Kristian | 74 |
| 3 | GASPAROTTO Enrico | 65 |
| 4 | ULISSI Diego | 63 |
| 5 | VISCONTI Giovanni | 63 |
| 6 | POZZOVIVO Domenico | 53 |
| 7 | CICCONE Giulio | 58 |
| 8 | NIBALI Antonio | 65 |
| 9 | VENDRAME Andrea | 60 |
| 11 | TORRES Rodolfo Andrés | 56 |
| 12 | CANOLA Marco | 66 |
| 14 | KOSHEVOY Ilia | 62.5 |
| 16 | NYCH Artem | 74 |
| 17 | ORSINI Umberto | 67 |
| 18 | TUREK Daniel | 72 |
| 20 | VELASCO Simone | 59 |
| 22 | SPREAFICO Matteo | 69 |
| 23 | GAROSIO Andrea | 58 |
| 25 | VLASOV Aleksandr | 68 |
| 28 | GANNA Filippo | 83 |
| 29 | ROVNY Ivan | 62 |