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 = 1 * weight - 42
This means that on average for every extra kilogram weight a rider loses 1 positions in the result.
Firsanov
1
58 kgChampion
2
70 kgVandenbroucke
3
67 kgJohansen
4
78 kgTombak
5
71 kgChristensen
6
69 kgMalacarne
11
73 kgDelpech
13
72 kgDrancourt
14
68 kgLampier
21
68 kgRoesems
26
81 kgPütsep
31
69 kgGretsch
33
69 kgBaldo
34
73 kgPetit
39
80 kgKusztor
45
61 kgBonsergent
53
66 kgMoberg Jørgensen
58
73 kgWetterhall
75
70 kgOjavee
83
80 kg
1
58 kgChampion
2
70 kgVandenbroucke
3
67 kgJohansen
4
78 kgTombak
5
71 kgChristensen
6
69 kgMalacarne
11
73 kgDelpech
13
72 kgDrancourt
14
68 kgLampier
21
68 kgRoesems
26
81 kgPütsep
31
69 kgGretsch
33
69 kgBaldo
34
73 kgPetit
39
80 kgKusztor
45
61 kgBonsergent
53
66 kgMoberg Jørgensen
58
73 kgWetterhall
75
70 kgOjavee
83
80 kg
Weight (KG) →
Result →
81
58
1
83
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | FIRSANOV Sergey | 58 |
| 2 | CHAMPION Dimitri | 70 |
| 3 | VANDENBROUCKE Frank | 67 |
| 4 | JOHANSEN Allan | 78 |
| 5 | TOMBAK Janek | 71 |
| 6 | CHRISTENSEN Mads | 69 |
| 11 | MALACARNE Gael | 73 |
| 13 | DELPECH Jean-Luc | 72 |
| 14 | DRANCOURT Pierre | 68 |
| 21 | LAMPIER Steven | 68 |
| 26 | ROESEMS Bert | 81 |
| 31 | PÜTSEP Erki | 69 |
| 33 | GRETSCH Patrick | 69 |
| 34 | BALDO Nicolas | 73 |
| 39 | PETIT Adrien | 80 |
| 45 | KUSZTOR Péter | 61 |
| 53 | BONSERGENT Stéphane | 66 |
| 58 | MOBERG JØRGENSEN Christian | 73 |
| 75 | WETTERHALL Alexander | 70 |
| 83 | OJAVEE Mart | 80 |