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 + 55
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
Bartoli
1
65 kgVandenbroucke
2
67 kgChiappucci
3
67 kgTchmil
4
75 kgBallerini
6
78 kgJalabert
8
68 kgMichaelsen
11
79 kgSacchi
14
68 kgTafi
15
73 kgMagnien
18
68 kgHervé
19
62 kgZberg
20
72 kgBreukink
22
70 kgPiccoli
24
64 kgVierhouten
29
71 kgStrazzer
30
68 kgZberg
31
69 kgBouyer
35
65 kg
1
65 kgVandenbroucke
2
67 kgChiappucci
3
67 kgTchmil
4
75 kgBallerini
6
78 kgJalabert
8
68 kgMichaelsen
11
79 kgSacchi
14
68 kgTafi
15
73 kgMagnien
18
68 kgHervé
19
62 kgZberg
20
72 kgBreukink
22
70 kgPiccoli
24
64 kgVierhouten
29
71 kgStrazzer
30
68 kgZberg
31
69 kgBouyer
35
65 kg
Weight (KG) →
Result →
79
62
1
35
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BARTOLI Michele | 65 |
| 2 | VANDENBROUCKE Frank | 67 |
| 3 | CHIAPPUCCI Claudio | 67 |
| 4 | TCHMIL Andrei | 75 |
| 6 | BALLERINI Franco | 78 |
| 8 | JALABERT Nicolas | 68 |
| 11 | MICHAELSEN Lars | 79 |
| 14 | SACCHI Fabio | 68 |
| 15 | TAFI Andrea | 73 |
| 18 | MAGNIEN Emmanuel | 68 |
| 19 | HERVÉ Pascal | 62 |
| 20 | ZBERG Beat | 72 |
| 22 | BREUKINK Erik | 70 |
| 24 | PICCOLI Mariano | 64 |
| 29 | VIERHOUTEN Aart | 71 |
| 30 | STRAZZER Massimo | 68 |
| 31 | ZBERG Markus | 69 |
| 35 | BOUYER Franck | 65 |