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 = -0.5 * weight + 45
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
Paterski
1
73 kgKaczmarek
2
66 kgBernas
3
77 kgStosz
4
70 kgBrożyna
5
71 kgStark
7
67 kgRekita
8
70 kgThurau
9
73 kgRöber
10
68 kgNolde
11
79 kgKalojíros
12
68 kgDuckert
13
68 kgLindner
14
71 kgJägeler
15
71 kgSchuran
16
70 kgTemmen
17
66 kgAschenbrenner
18
70 kgFranczak
19
63 kg
1
73 kgKaczmarek
2
66 kgBernas
3
77 kgStosz
4
70 kgBrożyna
5
71 kgStark
7
67 kgRekita
8
70 kgThurau
9
73 kgRöber
10
68 kgNolde
11
79 kgKalojíros
12
68 kgDuckert
13
68 kgLindner
14
71 kgJägeler
15
71 kgSchuran
16
70 kgTemmen
17
66 kgAschenbrenner
18
70 kgFranczak
19
63 kg
Weight (KG) →
Result →
79
63
1
19
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PATERSKI Maciej | 73 |
| 2 | KACZMAREK Jakub | 66 |
| 3 | BERNAS Paweł | 77 |
| 4 | STOSZ Patryk | 70 |
| 5 | BROŻYNA Piotr | 71 |
| 7 | STARK Immanuel | 67 |
| 8 | REKITA Szymon | 70 |
| 9 | THURAU Sven | 73 |
| 10 | RÖBER Dominik | 68 |
| 11 | NOLDE Tobias | 79 |
| 12 | KALOJÍROS Tomáš | 68 |
| 13 | DUCKERT Roman | 68 |
| 14 | LINDNER Tom | 71 |
| 15 | JÄGELER Robert | 71 |
| 16 | SCHURAN Michal | 70 |
| 17 | TEMMEN Jan-Marc | 66 |
| 18 | ASCHENBRENNER Michel | 70 |
| 19 | FRANCZAK Paweł | 63 |