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 + 41
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
Pollentier
1
62 kgKelly
2
77 kgvan Katwijk
3
75 kgde Rooij
5
69 kgVan Looy
11
75 kgDe Wilde
13
70 kgVan Impe
21
59 kg
1
62 kgKelly
2
77 kgvan Katwijk
3
75 kgde Rooij
5
69 kgVan Looy
11
75 kgDe Wilde
13
70 kgVan Impe
21
59 kg
Weight (KG) →
Result →
77
59
1
21
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | POLLENTIER Michel | 62 |
| 2 | KELLY Sean | 77 |
| 3 | VAN KATWIJK Fons | 75 |
| 5 | DE ROOIJ Theo | 69 |
| 11 | VAN LOOY Frans | 75 |
| 13 | DE WILDE Etienne | 70 |
| 21 | VAN IMPE Lucien | 59 |