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 = -0.4 * weight + 740
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
Van Looy
1
73 kgSimpson
5
69 kgPoulidor
990
71 kgForé
990
73 kgImpanis
990
69 kgForestier
990
70 kgCerami
990
72 kg
1
73 kgSimpson
5
69 kgPoulidor
990
71 kgForé
990
73 kgImpanis
990
69 kgForestier
990
70 kgCerami
990
72 kg
Weight (KG) →
Result →
73
69
1
990
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VAN LOOY Rik | 73 |
| 5 | SIMPSON Tom | 69 |
| 990 | POULIDOR Raymond | 71 |
| 990 | FORÉ Noël | 73 |
| 990 | IMPANIS Raymond | 69 |
| 990 | FORESTIER Jean | 70 |
| 990 | CERAMI Pino | 72 |