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 = -0.1 * weight + 15
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Janssen
2
76 kgMourioux
3
71 kgGraczyk
4
70 kgKarstens
10
74 kgDaler
12
85 kgGlemser
18
82 kgAbrahamian
19
57 kg
2
76 kgMourioux
3
71 kgGraczyk
4
70 kgKarstens
10
74 kgDaler
12
85 kgGlemser
18
82 kgAbrahamian
19
57 kg
Weight (KG) →
Result →
85
57
2
19
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | JANSSEN Jan | 76 |
| 3 | MOURIOUX Jacques | 71 |
| 4 | GRACZYK Jean | 70 |
| 10 | KARSTENS Gerben | 74 |
| 12 | DALER Jiří | 85 |
| 18 | GLEMSER Peter | 82 |
| 19 | ABRAHAMIAN Stéphane | 57 |