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 + 39
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
Baffi
1
70 kgElliott
2
76 kgvan der Poel
3
70 kgDe Wilde
4
70 kgMarie
8
68 kg
1
70 kgElliott
2
76 kgvan der Poel
3
70 kgDe Wilde
4
70 kgMarie
8
68 kg
Weight (KG) →
Result →
76
68
1
8
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BAFFI Adriano | 70 |
| 2 | ELLIOTT Malcolm | 76 |
| 3 | VAN DER POEL Adrie | 70 |
| 4 | DE WILDE Etienne | 70 |
| 8 | MARIE Thierry | 68 |