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 = -0.6 * weight + 49
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
Knudsen
1
79 kgMoser
2
79 kgDe Vlaeminck
3
74 kgAlgeri
6
68 kgAlgeri
10
69 kg
1
79 kgMoser
2
79 kgDe Vlaeminck
3
74 kgAlgeri
6
68 kgAlgeri
10
69 kg
Weight (KG) →
Result →
79
68
1
10
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KNUDSEN Knut | 79 |
| 2 | MOSER Francesco | 79 |
| 3 | DE VLAEMINCK Roger | 74 |
| 6 | ALGERI Vittorio | 68 |
| 10 | ALGERI Pietro | 69 |