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 = -34.8 * weight + 2890
This means that on average for every extra kilogram weight a rider loses -34.8 positions in the result.
De Vlaeminck
1
74 kgRosiers
4
78 kgMonseré
6
66 kgZoetemelk
990
68 kgDíaz
990
72 kg
1
74 kgRosiers
4
78 kgMonseré
6
66 kgZoetemelk
990
68 kgDíaz
990
72 kg
Weight (KG) →
Result →
78
66
1
990
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DE VLAEMINCK Roger | 74 |
| 4 | ROSIERS Roger | 78 |
| 6 | MONSERÉ Jean-Pierre | 66 |
| 990 | ZOETEMELK Joop | 68 |
| 990 | DÍAZ Ventura | 72 |