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 = -0.6 * weight + 46
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
Baffi
1
70 kgAbduzhaparov
2
72 kgVanderaerden
3
74 kgMuseeuw
4
71 kgDe Wilde
9
70 kg
1
70 kgAbduzhaparov
2
72 kgVanderaerden
3
74 kgMuseeuw
4
71 kgDe Wilde
9
70 kg
Weight (KG) →
Result →
74
70
1
9
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BAFFI Adriano | 70 |
| 2 | ABDUZHAPAROV Djamolidine | 72 |
| 3 | VANDERAERDEN Eric | 74 |
| 4 | MUSEEUW Johan | 71 |
| 9 | DE WILDE Etienne | 70 |