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 = -0.8 * weight + 85
This means that on average for every extra kilogram weight a rider loses -0.8 positions in the result.
Wilson
1
72 kgMamos
2
72 kgPower
4
68 kgJones
8
64 kgAldape
9
62 kgTuft
11
77 kgSchillinger
13
72 kgParisien
16
64 kgChadwick
17
75 kgLapthorne
18
70 kgNewton
21
69 kgNissen
22
65 kgVenter
24
70 kgMetlushenko
34
82 kgOyarzún
42
66 kgArango
48
62 kgCalabria
62
55 kgRoth
65
70 kgBell
66
75 kgBaumann
69
72 kgMeier
74
61 kg
1
72 kgMamos
2
72 kgPower
4
68 kgJones
8
64 kgAldape
9
62 kgTuft
11
77 kgSchillinger
13
72 kgParisien
16
64 kgChadwick
17
75 kgLapthorne
18
70 kgNewton
21
69 kgNissen
22
65 kgVenter
24
70 kgMetlushenko
34
82 kgOyarzún
42
66 kgArango
48
62 kgCalabria
62
55 kgRoth
65
70 kgBell
66
75 kgBaumann
69
72 kgMeier
74
61 kg
Weight (KG) →
Result →
82
55
1
74
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | WILSON Matthew | 72 |
| 2 | MAMOS Philipp | 72 |
| 4 | POWER Ciarán | 68 |
| 8 | JONES Chris | 64 |
| 9 | ALDAPE Moises Antonio | 62 |
| 11 | TUFT Svein | 77 |
| 13 | SCHILLINGER Andreas | 72 |
| 16 | PARISIEN François | 64 |
| 17 | CHADWICK Glen Alan | 75 |
| 18 | LAPTHORNE Darren | 70 |
| 21 | NEWTON Christopher | 69 |
| 22 | NISSEN Søren | 65 |
| 24 | VENTER Jaco | 70 |
| 34 | METLUSHENKO Yuri | 82 |
| 42 | OYARZÚN Carlos Iván | 66 |
| 48 | ARANGO Juan Esteban | 62 |
| 62 | CALABRIA Fabio | 55 |
| 65 | ROTH Ryan | 70 |
| 66 | BELL Zach | 75 |
| 69 | BAUMANN Eric | 72 |
| 74 | MEIER Christian | 61 |