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 * weight + 12
This means that on average for every extra kilogram weight a rider loses -0 positions in the result.
Augé
4
65 kgCheula
6
62 kgCasarotto
7
74 kgRich
10
82 kgScholz
12
60 kgVoigt
13
76 kgCunego
15
58 kg
4
65 kgCheula
6
62 kgCasarotto
7
74 kgRich
10
82 kgScholz
12
60 kgVoigt
13
76 kgCunego
15
58 kg
Weight (KG) →
Result →
82
58
4
15
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | AUGÉ Stéphane | 65 |
| 6 | CHEULA Giampaolo | 62 |
| 7 | CASAROTTO Davide | 74 |
| 10 | RICH Michael | 82 |
| 12 | SCHOLZ Ronny | 60 |
| 13 | VOIGT Jens | 76 |
| 15 | CUNEGO Damiano | 58 |