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 = 1.4 * weight - 86
This means that on average for every extra kilogram weight a rider loses 1.4 positions in the result.
Anquetil
1
70 kgBobet
5
74 kgForestier
6
70 kgImpanis
21
69 kgForé
22
73 kgDe Bruyne
27
68 kgVan Steenbergen
39
83 kg
1
70 kgBobet
5
74 kgForestier
6
70 kgImpanis
21
69 kgForé
22
73 kgDe Bruyne
27
68 kgVan Steenbergen
39
83 kg
Weight (KG) →
Result →
83
68
1
39
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ANQUETIL Jacques | 70 |
| 5 | BOBET Louison | 74 |
| 6 | FORESTIER Jean | 70 |
| 21 | IMPANIS Raymond | 69 |
| 22 | FORÉ Noël | 73 |
| 27 | DE BRUYNE Alfred | 68 |
| 39 | VAN STEENBERGEN Rik | 83 |