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 + 52
This means that on average for every extra kilogram weight a rider loses -0.7 positions in the result.
De Vlaeminck
1
74 kgAlgeri
2
68 kgJohansson
4
71 kgGavazzi
8
67 kgBaronchelli
11
72 kgVandi
12
64 kg
1
74 kgAlgeri
2
68 kgJohansson
4
71 kgGavazzi
8
67 kgBaronchelli
11
72 kgVandi
12
64 kg
Weight (KG) →
Result →
74
64
1
12
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DE VLAEMINCK Roger | 74 |
| 2 | ALGERI Vittorio | 68 |
| 4 | JOHANSSON Bernt | 71 |
| 8 | GAVAZZI Pierino | 67 |
| 11 | BARONCHELLI Gianbattista | 72 |
| 12 | VANDI Alfio | 64 |