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 - 25
This means that on average for every extra kilogram weight a rider loses 0.5 positions in the result.
Tyrpekl
1
67 kgCamrda
3
63 kgMunton
4
60 kgStüssi
6
68 kgPetruš
8
64 kgReutimann
10
71 kgGuerin
11
64 kgGeßner
12
72 kg
1
67 kgCamrda
3
63 kgMunton
4
60 kgStüssi
6
68 kgPetruš
8
64 kgReutimann
10
71 kgGuerin
11
64 kgGeßner
12
72 kg
Weight (KG) →
Result →
72
60
1
12
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | TYRPEKL Karel | 67 |
| 3 | CAMRDA Karel | 63 |
| 4 | MUNTON Byron | 60 |
| 6 | STÜSSI Colin | 68 |
| 8 | PETRUŠ Jiří | 64 |
| 10 | REUTIMANN Matthias | 71 |
| 11 | GUERIN Alexis | 64 |
| 12 | GEßNER Jakob | 72 |