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.
Aliyev
1
67 kgBulut
2
64 kgTheiler
3
75 kgDuckert
5
68 kgHabteab
6
61 kgUzun
7
67 kgUry
9
68 kgOzkalbim
12
63 kgDivnić
14
64 kgBocharov
16
72 kgTurkulov
26
65 kgBouchard
30
61 kgLutz-Atkinson
31
68 kgAbe
32
56 kgMulagaleyev
42
65 kgYuca
45
65 kgPomorski
46
76 kgStolić
48
73 kg
1
67 kgBulut
2
64 kgTheiler
3
75 kgDuckert
5
68 kgHabteab
6
61 kgUzun
7
67 kgUry
9
68 kgOzkalbim
12
63 kgDivnić
14
64 kgBocharov
16
72 kgTurkulov
26
65 kgBouchard
30
61 kgLutz-Atkinson
31
68 kgAbe
32
56 kgMulagaleyev
42
65 kgYuca
45
65 kgPomorski
46
76 kgStolić
48
73 kg
Weight (KG) →
Result →
76
56
1
48
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ALIYEV Ruslan | 67 |
| 2 | BULUT Samet | 64 |
| 3 | THEILER Ole | 75 |
| 5 | DUCKERT Roman | 68 |
| 6 | HABTEAB Yoel | 61 |
| 7 | UZUN Emir | 67 |
| 9 | URY Noé | 68 |
| 12 | OZKALBIM Kaan | 63 |
| 14 | DIVNIĆ Jovan | 64 |
| 16 | BOCHAROV Dmitriy | 72 |
| 26 | TURKULOV Luka | 65 |
| 30 | BOUCHARD Alexis | 61 |
| 31 | LUTZ-ATKINSON Hugo | 68 |
| 32 | ABE Gen | 56 |
| 42 | MULAGALEYEV Vladimir | 65 |
| 45 | YUCA Emre | 65 |
| 46 | POMORSKI Michał | 76 |
| 48 | STOLIĆ Mihajlo | 73 |