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 = -1 * weight + 113
This means that on average for every extra kilogram weight a rider loses -1 positions in the result.
Boev
4
74 kgBommel
6
75 kgAyazbayev
10
75 kgSapa
11
82 kgSchiewer
13
70 kgVasylyuk
15
65 kgKnaup
19
61 kgKogut
22
73 kgGaebel
25
68 kgKuznetsov
29
70 kgKamyshev
35
67 kgGerganov
38
60 kgHristov
40
57 kgLagkuti
53
68 kgOrr
58
74 kgCholakov
61
66 kgArndt
62
77.5 kgJovanović
73
60 kgGyurov
81
75 kgMalaguti
83
67 kgStalnov
84
63 kgOelerich
85
70 kg
4
74 kgBommel
6
75 kgAyazbayev
10
75 kgSapa
11
82 kgSchiewer
13
70 kgVasylyuk
15
65 kgKnaup
19
61 kgKogut
22
73 kgGaebel
25
68 kgKuznetsov
29
70 kgKamyshev
35
67 kgGerganov
38
60 kgHristov
40
57 kgLagkuti
53
68 kgOrr
58
74 kgCholakov
61
66 kgArndt
62
77.5 kgJovanović
73
60 kgGyurov
81
75 kgMalaguti
83
67 kgStalnov
84
63 kgOelerich
85
70 kg
Weight (KG) →
Result →
82
57
4
85
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | BOEV Igor | 74 |
| 6 | BOMMEL Henning | 75 |
| 10 | AYAZBAYEV Maxat | 75 |
| 11 | SAPA Marcin | 82 |
| 13 | SCHIEWER Franz | 70 |
| 15 | VASYLYUK Andriy | 65 |
| 19 | KNAUP Tobias | 61 |
| 22 | KOGUT Volodymyr | 73 |
| 25 | GAEBEL Stefan | 68 |
| 29 | KUZNETSOV Viacheslav | 70 |
| 35 | KAMYSHEV Arman | 67 |
| 38 | GERGANOV Evgeni | 60 |
| 40 | HRISTOV Stefan Koychev | 57 |
| 53 | LAGKUTI Sergiy | 68 |
| 58 | ORR Robert | 74 |
| 61 | CHOLAKOV Stanimir | 66 |
| 62 | ARNDT Nikias | 77.5 |
| 73 | JOVANOVIĆ Nebojša | 60 |
| 81 | GYUROV Spas | 75 |
| 83 | MALAGUTI Alessandro | 67 |
| 84 | STALNOV Nikita | 63 |
| 85 | OELERICH Jan | 70 |