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 = 0.3 * weight - 2
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
Averin
1
74 kgRoglič
2
65 kgKump
3
68 kgMugerli
4
68 kgHorner
5
70 kgOckeloen
7
66 kgShushemoin
9
62 kgSisr
11
72 kgEdmondson
13
62 kgCardoso
14
70 kgLaas
18
76 kgErshov
19
70 kgRogina
20
70 kgFirsanov
21
58 kgMandrysch
23
73 kgAsadov
25
77 kgWilliams
26
75 kgIgnatenko
28
63 kgNikitin
29
61 kgKoning
30
77 kgJones
31
81 kgSamli
32
75 kgPiaskowy
33
60 kg
1
74 kgRoglič
2
65 kgKump
3
68 kgMugerli
4
68 kgHorner
5
70 kgOckeloen
7
66 kgShushemoin
9
62 kgSisr
11
72 kgEdmondson
13
62 kgCardoso
14
70 kgLaas
18
76 kgErshov
19
70 kgRogina
20
70 kgFirsanov
21
58 kgMandrysch
23
73 kgAsadov
25
77 kgWilliams
26
75 kgIgnatenko
28
63 kgNikitin
29
61 kgKoning
30
77 kgJones
31
81 kgSamli
32
75 kgPiaskowy
33
60 kg
Weight (KG) →
Result →
81
58
1
33
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | AVERIN Maksym | 74 |
| 2 | ROGLIČ Primož | 65 |
| 3 | KUMP Marko | 68 |
| 4 | MUGERLI Matej | 68 |
| 5 | HORNER Chris | 70 |
| 7 | OCKELOEN Jasper | 66 |
| 9 | SHUSHEMOIN Alexandr | 62 |
| 11 | SISR František | 72 |
| 13 | EDMONDSON Joshua | 62 |
| 14 | CARDOSO Manuel Antonio Leal | 70 |
| 18 | LAAS Martin | 76 |
| 19 | ERSHOV Artur | 70 |
| 20 | ROGINA Radoslav | 70 |
| 21 | FIRSANOV Sergey | 58 |
| 23 | MANDRYSCH John | 73 |
| 25 | ASADOV Elchin | 77 |
| 26 | WILLIAMS Christopher | 75 |
| 28 | IGNATENKO Petr | 63 |
| 29 | NIKITIN Matvey | 61 |
| 30 | KONING Peter | 77 |
| 31 | JONES Brenton | 81 |
| 32 | SAMLI Feritcan | 75 |
| 33 | PIASKOWY Emanuel | 60 |