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.
Mortensen
1
70 kgSilvestre
2
78 kgBlain
3
82 kgHurel
4
66 kgHansen
5
60 kgNikolaev
6
66 kgVermeltfoort
7
85 kgBenfatto
8
71 kgAlafaci
9
77 kgDillier
11
75 kgDrujon
12
75 kgvan der Lijke
13
61 kgTronet
14
67 kgDuval
17
68 kgJakin
21
71 kgFournier
22
71 kgDruyts
24
69 kgMoser
25
88 kgValgren
26
71 kgNorris
28
67 kgScully
29
85 kg
1
70 kgSilvestre
2
78 kgBlain
3
82 kgHurel
4
66 kgHansen
5
60 kgNikolaev
6
66 kgVermeltfoort
7
85 kgBenfatto
8
71 kgAlafaci
9
77 kgDillier
11
75 kgDrujon
12
75 kgvan der Lijke
13
61 kgTronet
14
67 kgDuval
17
68 kgJakin
21
71 kgFournier
22
71 kgDruyts
24
69 kgMoser
25
88 kgValgren
26
71 kgNorris
28
67 kgScully
29
85 kg
Weight (KG) →
Result →
88
60
1
29
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MORTENSEN Martin | 70 |
| 2 | SILVESTRE Fábio | 78 |
| 3 | BLAIN Alexandre | 82 |
| 4 | HUREL Tony | 66 |
| 5 | HANSEN Jesper | 60 |
| 6 | NIKOLAEV Sergey | 66 |
| 7 | VERMELTFOORT Coen | 85 |
| 8 | BENFATTO Marco | 71 |
| 9 | ALAFACI Eugenio | 77 |
| 11 | DILLIER Silvan | 75 |
| 12 | DRUJON Mathieu | 75 |
| 13 | VAN DER LIJKE Nick | 61 |
| 14 | TRONET Steven | 67 |
| 17 | DUVAL Julien | 68 |
| 21 | JAKIN Alo | 71 |
| 22 | FOURNIER Marc | 71 |
| 24 | DRUYTS Gerry | 69 |
| 25 | MOSER Ignazio | 88 |
| 26 | VALGREN Michael | 71 |
| 28 | NORRIS Lachlan | 67 |
| 29 | SCULLY Tom | 85 |