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 = 0.7 * weight - 40
This means that on average for every extra kilogram weight a rider loses 0.7 positions in the result.
Monseré
1
66 kgDe Vlaeminck
3
74 kgRosiers
6
78 kgDíaz
10
72 kgZoetemelk
11
68 kgSaéz
38
74 kg
1
66 kgDe Vlaeminck
3
74 kgRosiers
6
78 kgDíaz
10
72 kgZoetemelk
11
68 kgSaéz
38
74 kg
Weight (KG) →
Result →
78
66
1
38
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MONSERÉ Jean-Pierre | 66 |
| 3 | DE VLAEMINCK Roger | 74 |
| 6 | ROSIERS Roger | 78 |
| 10 | DÍAZ Ventura | 72 |
| 11 | ZOETEMELK Joop | 68 |
| 38 | SAÉZ Ramón | 74 |