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 = 0.4 * weight - 8
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
Brusselman
1
76 kgWeinstein
2
80 kgKessler
3
78 kgSoballa
4
71 kgWillwohl
5
67 kgBanaszek
6
79 kgJanssen
8
76 kgPawlak
10
81 kgPiasetski
12
66 kgLatoń
15
76 kgKuzmin
17
66 kgSchomber
18
75 kgStosz
19
70 kgSykala
20
72 kgGrabis
22
75 kgRohde
28
75 kgZhyhunou
33
72 kgDubovski
39
75 kgStrokau
42
74 kgKistowski
43
67 kgKongstad
46
75 kgFrahm
53
90 kg
1
76 kgWeinstein
2
80 kgKessler
3
78 kgSoballa
4
71 kgWillwohl
5
67 kgBanaszek
6
79 kgJanssen
8
76 kgPawlak
10
81 kgPiasetski
12
66 kgLatoń
15
76 kgKuzmin
17
66 kgSchomber
18
75 kgStosz
19
70 kgSykala
20
72 kgGrabis
22
75 kgRohde
28
75 kgZhyhunou
33
72 kgDubovski
39
75 kgStrokau
42
74 kgKistowski
43
67 kgKongstad
46
75 kgFrahm
53
90 kg
Weight (KG) →
Result →
90
66
1
53
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BRUSSELMAN Twan | 76 |
| 2 | WEINSTEIN Domenic | 80 |
| 3 | KESSLER Robert | 78 |
| 4 | SOBALLA Carl | 71 |
| 5 | WILLWOHL Willi | 67 |
| 6 | BANASZEK Adrian | 79 |
| 8 | JANSSEN Adriaan | 76 |
| 10 | PAWLAK Tobiasz | 81 |
| 12 | PIASETSKI Aliaksandr | 66 |
| 15 | LATOŃ Eryk | 76 |
| 17 | KUZMIN Anton | 66 |
| 18 | SCHOMBER Nils | 75 |
| 19 | STOSZ Patryk | 70 |
| 20 | SYKALA Wojciech | 72 |
| 22 | GRABIS Mateusz | 75 |
| 28 | ROHDE Leon | 75 |
| 33 | ZHYHUNOU Dzmitry | 72 |
| 39 | DUBOVSKI Vladzislau | 75 |
| 42 | STROKAU Vasili | 74 |
| 43 | KISTOWSKI Kacper | 67 |
| 46 | KONGSTAD Tobias | 75 |
| 53 | FRAHM Jasper | 90 |