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 = -0.1 * weight + 17
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Champoussin
1
61 kgPellaud
2
70 kgDi Felice
3
70 kgGamper
4
80 kgBais
5
66 kgTracz
6
74 kgGrošelj
7
70 kgColleoni
8
66 kgRubio
9
56 kgBuitrago
10
59 kgRappo
11
63 kgAleotti
13
67 kgMaas
14
70 kgRavanelli
17
66 kgMarchiori
18
70 kgMozzato
20
67 kgBayer
21
71 kgGaravaglia
22
65 kg
1
61 kgPellaud
2
70 kgDi Felice
3
70 kgGamper
4
80 kgBais
5
66 kgTracz
6
74 kgGrošelj
7
70 kgColleoni
8
66 kgRubio
9
56 kgBuitrago
10
59 kgRappo
11
63 kgAleotti
13
67 kgMaas
14
70 kgRavanelli
17
66 kgMarchiori
18
70 kgMozzato
20
67 kgBayer
21
71 kgGaravaglia
22
65 kg
Weight (KG) →
Result →
80
56
1
22
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | CHAMPOUSSIN Clément | 61 |
| 2 | PELLAUD Simon | 70 |
| 3 | DI FELICE Francesco | 70 |
| 4 | GAMPER Patrick | 80 |
| 5 | BAIS Mattia | 66 |
| 6 | TRACZ Szymon | 74 |
| 7 | GROŠELJ Matic | 70 |
| 8 | COLLEONI Kevin | 66 |
| 9 | RUBIO Einer | 56 |
| 10 | BUITRAGO Santiago | 59 |
| 11 | RAPPO Anthony | 63 |
| 13 | ALEOTTI Giovanni | 67 |
| 14 | MAAS Jan | 70 |
| 17 | RAVANELLI Simone | 66 |
| 18 | MARCHIORI Leonardo | 70 |
| 20 | MOZZATO Luca | 67 |
| 21 | BAYER Tobias | 71 |
| 22 | GARAVAGLIA Giacomo | 65 |