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 = 0.3 * weight - 6
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
Vandenbroucke
1
67 kgBaldato
2
60 kgBelli
3
64 kgSvorada
4
80 kgMuseeuw
5
71 kgGoubert
6
62 kgBoardman
7
70 kgWauters
8
73 kgHodge
9
74 kgKnaven
11
68 kgVasseur
12
70 kgPeeters
13
76 kgFontanelli
14
68 kgHoffman
17
80 kgRué
18
74 kgDufaux
19
60 kgHeulot
21
69 kgMichaelsen
22
79 kgUllrich
23
73 kgBrochard
24
68 kgTafi
25
73 kgBallerini
36
78 kgBerzin
43
64 kg
1
67 kgBaldato
2
60 kgBelli
3
64 kgSvorada
4
80 kgMuseeuw
5
71 kgGoubert
6
62 kgBoardman
7
70 kgWauters
8
73 kgHodge
9
74 kgKnaven
11
68 kgVasseur
12
70 kgPeeters
13
76 kgFontanelli
14
68 kgHoffman
17
80 kgRué
18
74 kgDufaux
19
60 kgHeulot
21
69 kgMichaelsen
22
79 kgUllrich
23
73 kgBrochard
24
68 kgTafi
25
73 kgBallerini
36
78 kgBerzin
43
64 kg
Weight (KG) →
Result →
80
60
1
43
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VANDENBROUCKE Frank | 67 |
| 2 | BALDATO Fabio | 60 |
| 3 | BELLI Wladimir | 64 |
| 4 | SVORADA Ján | 80 |
| 5 | MUSEEUW Johan | 71 |
| 6 | GOUBERT Stéphane | 62 |
| 7 | BOARDMAN Chris | 70 |
| 8 | WAUTERS Marc | 73 |
| 9 | HODGE Stephen | 74 |
| 11 | KNAVEN Servais | 68 |
| 12 | VASSEUR Cédric | 70 |
| 13 | PEETERS Wilfried | 76 |
| 14 | FONTANELLI Fabiano | 68 |
| 17 | HOFFMAN Tristan | 80 |
| 18 | RUÉ Gérard | 74 |
| 19 | DUFAUX Laurent | 60 |
| 21 | HEULOT Stephane | 69 |
| 22 | MICHAELSEN Lars | 79 |
| 23 | ULLRICH Jan | 73 |
| 24 | BROCHARD Laurent | 68 |
| 25 | TAFI Andrea | 73 |
| 36 | BALLERINI Franco | 78 |
| 43 | BERZIN Evgeni | 64 |