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 = 20.6 * weight - 921
This means that on average for every extra kilogram weight a rider loses 20.6 positions in the result.
Anquetil
1
70 kgBobet
5
74 kgForestier
7
70 kgDe Bruyne
990
68 kgImpanis
990
69 kgForé
990
73 kgVan Steenbergen
990
83 kg
1
70 kgBobet
5
74 kgForestier
7
70 kgDe Bruyne
990
68 kgImpanis
990
69 kgForé
990
73 kgVan Steenbergen
990
83 kg
Weight (KG) →
Result →
83
68
1
990
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ANQUETIL Jacques | 70 |
| 5 | BOBET Louison | 74 |
| 7 | FORESTIER Jean | 70 |
| 990 | DE BRUYNE Alfred | 68 |
| 990 | IMPANIS Raymond | 69 |
| 990 | FORÉ Noël | 73 |
| 990 | VAN STEENBERGEN Rik | 83 |