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 = 1 * weight - 50
This means that on average for every extra kilogram weight a rider loses 1 positions in the result.
Di Luca
1
61 kgBossoni
2
62 kgCamenzind
3
62 kgCarrara
5
67 kgCheula
6
62 kgKadlec
7
70 kgKolobnev
8
64 kgCasagrande
9
64 kgMurn
13
70 kgMarzoli
14
61 kgRatti
18
64 kgPietropolli
19
61 kgPinotti
20
67 kgScheirlinckx
21
67 kgDonati
22
71 kgGiordani
24
68 kgTiralongo
25
63 kgGolčer
26
66.5 kgLancaster
27
78 kg
1
61 kgBossoni
2
62 kgCamenzind
3
62 kgCarrara
5
67 kgCheula
6
62 kgKadlec
7
70 kgKolobnev
8
64 kgCasagrande
9
64 kgMurn
13
70 kgMarzoli
14
61 kgRatti
18
64 kgPietropolli
19
61 kgPinotti
20
67 kgScheirlinckx
21
67 kgDonati
22
71 kgGiordani
24
68 kgTiralongo
25
63 kgGolčer
26
66.5 kgLancaster
27
78 kg
Weight (KG) →
Result →
78
61
1
27
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DI LUCA Danilo | 61 |
| 2 | BOSSONI Paolo | 62 |
| 3 | CAMENZIND Oscar | 62 |
| 5 | CARRARA Matteo | 67 |
| 6 | CHEULA Giampaolo | 62 |
| 7 | KADLEC Milan | 70 |
| 8 | KOLOBNEV Alexandr | 64 |
| 9 | CASAGRANDE Francesco | 64 |
| 13 | MURN Uroš | 70 |
| 14 | MARZOLI Ruggero | 61 |
| 18 | RATTI Eddy | 64 |
| 19 | PIETROPOLLI Daniele | 61 |
| 20 | PINOTTI Marco | 67 |
| 21 | SCHEIRLINCKX Bert | 67 |
| 22 | DONATI Alessandro | 71 |
| 24 | GIORDANI Leonardo | 68 |
| 25 | TIRALONGO Paolo | 63 |
| 26 | GOLČER Jure | 66.5 |
| 27 | LANCASTER Brett | 78 |