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.
Visconti
1
63 kgCorioni
2
67 kgHoogerland
7
65 kgJérôme
8
65 kgVandenbergh
10
86 kgDuijn
11
73 kgGoesinnen
12
75 kgVanheule
13
76 kgDrancourt
18
68 kgPozzovivo
19
53 kgSabatini
21
74 kgRoelandts
22
78 kgVanendert
24
62 kgVan Avermaet
28
74 kgDe Greef
42
77 kgNeirynck
44
71 kgClaude
56
69 kg
1
63 kgCorioni
2
67 kgHoogerland
7
65 kgJérôme
8
65 kgVandenbergh
10
86 kgDuijn
11
73 kgGoesinnen
12
75 kgVanheule
13
76 kgDrancourt
18
68 kgPozzovivo
19
53 kgSabatini
21
74 kgRoelandts
22
78 kgVanendert
24
62 kgVan Avermaet
28
74 kgDe Greef
42
77 kgNeirynck
44
71 kgClaude
56
69 kg
Weight (KG) →
Result →
86
53
1
56
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VISCONTI Giovanni | 63 |
| 2 | CORIONI Claudio | 67 |
| 7 | HOOGERLAND Johnny | 65 |
| 8 | JÉRÔME Vincent | 65 |
| 10 | VANDENBERGH Stijn | 86 |
| 11 | DUIJN Huub | 73 |
| 12 | GOESINNEN Floris | 75 |
| 13 | VANHEULE Bart | 76 |
| 18 | DRANCOURT Pierre | 68 |
| 19 | POZZOVIVO Domenico | 53 |
| 21 | SABATINI Fabio | 74 |
| 22 | ROELANDTS Jürgen | 78 |
| 24 | VANENDERT Jelle | 62 |
| 28 | VAN AVERMAET Greg | 74 |
| 42 | DE GREEF Francis | 77 |
| 44 | NEIRYNCK Kevin | 71 |
| 56 | CLAUDE Mathieu | 69 |