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 = -0.6 * weight + 70
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
Tuft
1
77 kgAldape
3
62 kgChadwick
5
75 kgLapthorne
6
70 kgSchillinger
7
72 kgParisien
8
64 kgNissen
10
65 kgNewton
13
69 kgJones
15
64 kgOyarzún
22
66 kgVenter
23
70 kgWilson
28
72 kgBaumann
39
72 kgMetlushenko
40
82 kgRoth
42
70 kgMamos
45
72 kgMeier
46
61 kgPower
51
68 kgBell
57
75 kgArango
59
62 kgCalabria
64
55 kg
1
77 kgAldape
3
62 kgChadwick
5
75 kgLapthorne
6
70 kgSchillinger
7
72 kgParisien
8
64 kgNissen
10
65 kgNewton
13
69 kgJones
15
64 kgOyarzún
22
66 kgVenter
23
70 kgWilson
28
72 kgBaumann
39
72 kgMetlushenko
40
82 kgRoth
42
70 kgMamos
45
72 kgMeier
46
61 kgPower
51
68 kgBell
57
75 kgArango
59
62 kgCalabria
64
55 kg
Weight (KG) →
Result →
82
55
1
64
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | TUFT Svein | 77 |
| 3 | ALDAPE Moises Antonio | 62 |
| 5 | CHADWICK Glen Alan | 75 |
| 6 | LAPTHORNE Darren | 70 |
| 7 | SCHILLINGER Andreas | 72 |
| 8 | PARISIEN François | 64 |
| 10 | NISSEN Søren | 65 |
| 13 | NEWTON Christopher | 69 |
| 15 | JONES Chris | 64 |
| 22 | OYARZÚN Carlos Iván | 66 |
| 23 | VENTER Jaco | 70 |
| 28 | WILSON Matthew | 72 |
| 39 | BAUMANN Eric | 72 |
| 40 | METLUSHENKO Yuri | 82 |
| 42 | ROTH Ryan | 70 |
| 45 | MAMOS Philipp | 72 |
| 46 | MEIER Christian | 61 |
| 51 | POWER Ciarán | 68 |
| 57 | BELL Zach | 75 |
| 59 | ARANGO Juan Esteban | 62 |
| 64 | CALABRIA Fabio | 55 |