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 = -0.1 * weight + 20
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Bauhaus
1
75 kgWackermann
3
68 kgBoivin
4
78 kgTamouridis
5
70 kgSchorn
6
72 kgLowndes
8
82 kgFinetto
9
62 kgAsadov
10
77 kgCecchin
11
70 kgÁvila
12
61 kgSaleh
13
58 kgVahtra
15
85 kgEvtushenko
16
72 kgEzquerra
17
68 kgSteimle
18
73 kgAverin
20
74 kgSchwarzmann
21
69 kgGaleyev
22
68 kg
1
75 kgWackermann
3
68 kgBoivin
4
78 kgTamouridis
5
70 kgSchorn
6
72 kgLowndes
8
82 kgFinetto
9
62 kgAsadov
10
77 kgCecchin
11
70 kgÁvila
12
61 kgSaleh
13
58 kgVahtra
15
85 kgEvtushenko
16
72 kgEzquerra
17
68 kgSteimle
18
73 kgAverin
20
74 kgSchwarzmann
21
69 kgGaleyev
22
68 kg
Weight (KG) →
Result →
85
58
1
22
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BAUHAUS Phil | 75 |
| 3 | WACKERMANN Luca | 68 |
| 4 | BOIVIN Guillaume | 78 |
| 5 | TAMOURIDIS Ioannis | 70 |
| 6 | SCHORN Daniel | 72 |
| 8 | LOWNDES Jason | 82 |
| 9 | FINETTO Mauro | 62 |
| 10 | ASADOV Elchin | 77 |
| 11 | CECCHIN Alberto | 70 |
| 12 | ÁVILA Edwin | 61 |
| 13 | SALEH Mohd Zamri | 58 |
| 15 | VAHTRA Norman | 85 |
| 16 | EVTUSHENKO Alexander | 72 |
| 17 | EZQUERRA Jesús | 68 |
| 18 | STEIMLE Jannik | 73 |
| 20 | AVERIN Maksym | 74 |
| 21 | SCHWARZMANN Michael | 69 |
| 22 | GALEYEV Vadim | 68 |