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 = 49.8 * weight - 3078
This means that on average for every extra kilogram weight a rider loses 49.8 positions in the result.
De Vlaeminck
4
74 kgAlgeri
5
68 kgMoser
990
79 kgKnudsen
990
79 kgAlgeri
990
69 kg
4
74 kgAlgeri
5
68 kgMoser
990
79 kgKnudsen
990
79 kgAlgeri
990
69 kg
Weight (KG) →
Result →
79
68
4
990
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | DE VLAEMINCK Roger | 74 |
| 5 | ALGERI Vittorio | 68 |
| 990 | MOSER Francesco | 79 |
| 990 | KNUDSEN Knut | 79 |
| 990 | ALGERI Pietro | 69 |