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 = -0.2 * weight + 16
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
De Vlaeminck
1
74 kgMoser
2
79 kgVandi
3
64 kgAlgeri
4
68 kgSaronni
5
65 kg
1
74 kgMoser
2
79 kgVandi
3
64 kgAlgeri
4
68 kgSaronni
5
65 kg
Weight (KG) →
Result →
79
64
1
5
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DE VLAEMINCK Roger | 74 |
| 2 | MOSER Francesco | 79 |
| 3 | VANDI Alfio | 64 |
| 4 | ALGERI Vittorio | 68 |
| 5 | SARONNI Giuseppe | 65 |