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 = 0.2 * weight - 3
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Brochard
1
68 kgSalmon
2
60 kgRebellin
3
63 kgBeltrán
4
60 kgVirenque
5
65 kgSimon
6
70 kgBaranowski
8
68 kgTotschnig
9
62 kgHeulot
10
69 kgPlaza
11
68 kgVoskamp
12
75 kgUllrich
13
73 kgLuttenberger
14
60 kgBoardman
15
70 kgHamburger
16
58 kgMadouas
17
70 kgArrieta
18
68 kgDufaux
19
60 kgVasseur
20
70 kg
1
68 kgSalmon
2
60 kgRebellin
3
63 kgBeltrán
4
60 kgVirenque
5
65 kgSimon
6
70 kgBaranowski
8
68 kgTotschnig
9
62 kgHeulot
10
69 kgPlaza
11
68 kgVoskamp
12
75 kgUllrich
13
73 kgLuttenberger
14
60 kgBoardman
15
70 kgHamburger
16
58 kgMadouas
17
70 kgArrieta
18
68 kgDufaux
19
60 kgVasseur
20
70 kg
Weight (KG) →
Result →
75
58
1
20
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BROCHARD Laurent | 68 |
| 2 | SALMON Benoît | 60 |
| 3 | REBELLIN Davide | 63 |
| 4 | BELTRÁN Manuel | 60 |
| 5 | VIRENQUE Richard | 65 |
| 6 | SIMON François | 70 |
| 8 | BARANOWSKI Dariusz | 68 |
| 9 | TOTSCHNIG Georg | 62 |
| 10 | HEULOT Stéphane | 69 |
| 11 | PLAZA David | 68 |
| 12 | VOSKAMP Bart | 75 |
| 13 | ULLRICH Jan | 73 |
| 14 | LUTTENBERGER Peter | 60 |
| 15 | BOARDMAN Chris | 70 |
| 16 | HAMBURGER Bo | 58 |
| 17 | MADOUAS Laurent | 70 |
| 18 | ARRIETA José Luis | 68 |
| 19 | DUFAUX Laurent | 60 |
| 20 | VASSEUR Cédric | 70 |