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 - 10
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
Voß
1
66 kgMühlberger
2
64 kgTratnik
3
67 kgBuchmann
4
59 kgRebellin
5
63 kgKonrad
6
64 kgArndt
7
77.5 kgSchillinger
9
72 kgBenedetti
10
63 kgSimón
11
64 kgHník
12
57 kgBajc
14
65 kgGroßschartner
15
64 kgKolobnev
17
64 kgHuzarski
19
69 kgReutter
20
72 kgBrożyna
21
71 kg
1
66 kgMühlberger
2
64 kgTratnik
3
67 kgBuchmann
4
59 kgRebellin
5
63 kgKonrad
6
64 kgArndt
7
77.5 kgSchillinger
9
72 kgBenedetti
10
63 kgSimón
11
64 kgHník
12
57 kgBajc
14
65 kgGroßschartner
15
64 kgKolobnev
17
64 kgHuzarski
19
69 kgReutter
20
72 kgBrożyna
21
71 kg
Weight (KG) →
Result →
77.5
57
1
21
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VOß Paul | 66 |
| 2 | MÜHLBERGER Gregor | 64 |
| 3 | TRATNIK Jan | 67 |
| 4 | BUCHMANN Emanuel | 59 |
| 5 | REBELLIN Davide | 63 |
| 6 | KONRAD Patrick | 64 |
| 7 | ARNDT Nikias | 77.5 |
| 9 | SCHILLINGER Andreas | 72 |
| 10 | BENEDETTI Cesare | 63 |
| 11 | SIMÓN Jordi | 64 |
| 12 | HNÍK Karel | 57 |
| 14 | BAJC Andi | 65 |
| 15 | GROßSCHARTNER Felix | 64 |
| 17 | KOLOBNEV Alexandr | 64 |
| 19 | HUZARSKI Bartosz | 69 |
| 20 | REUTTER Sven | 72 |
| 21 | BROŻYNA Piotr | 71 |