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 = 0.7 * weight - 29
This means that on average for every extra kilogram weight a rider loses 0.7 positions in the result.
Aernouts
1
63 kgLammertink
2
61 kgBaranowski
3
68 kgPauwels
5
60 kgBlain
7
82 kgVantornout
11
69 kgSchelling
14
61 kgBenčík
16
73 kgŠtimulak
18
64 kgAregger
20
70 kgHansen
21
60 kgDempster
22
77 kgAnderson
29
68 kgClancy
33
79 kgKritskiy
34
81 kgVoß
36
66 kgBystrøm
39
73 kgJurčo
40
69 kgKadlec
41
70 kg
1
63 kgLammertink
2
61 kgBaranowski
3
68 kgPauwels
5
60 kgBlain
7
82 kgVantornout
11
69 kgSchelling
14
61 kgBenčík
16
73 kgŠtimulak
18
64 kgAregger
20
70 kgHansen
21
60 kgDempster
22
77 kgAnderson
29
68 kgClancy
33
79 kgKritskiy
34
81 kgVoß
36
66 kgBystrøm
39
73 kgJurčo
40
69 kgKadlec
41
70 kg
Weight (KG) →
Result →
82
60
1
41
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | AERNOUTS Jim | 63 |
| 2 | LAMMERTINK Maurits | 61 |
| 3 | BARANOWSKI Dariusz | 68 |
| 5 | PAUWELS Kevin | 60 |
| 7 | BLAIN Alexandre | 82 |
| 11 | VANTORNOUT Klaas | 69 |
| 14 | SCHELLING Patrick | 61 |
| 16 | BENČÍK Petr | 73 |
| 18 | ŠTIMULAK Klemen | 64 |
| 20 | AREGGER Marcel | 70 |
| 21 | HANSEN Jesper | 60 |
| 22 | DEMPSTER Zak | 77 |
| 29 | ANDERSON Jack | 68 |
| 33 | CLANCY Edward | 79 |
| 34 | KRITSKIY Timofey | 81 |
| 36 | VOß Paul | 66 |
| 39 | BYSTRØM Sven Erik | 73 |
| 40 | JURČO Matej | 69 |
| 41 | KADLEC Milan | 70 |