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 + 21
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Knudsen
1
79 kgMoser
2
79 kgDe Vlaeminck
3
74 kgSaronni
4
65 kgMarcussen
5
70 kgGimondi
6
78 kgVandi
8
64 kg
1
79 kgMoser
2
79 kgDe Vlaeminck
3
74 kgSaronni
4
65 kgMarcussen
5
70 kgGimondi
6
78 kgVandi
8
64 kg
Weight (KG) →
Result →
79
64
1
8
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KNUDSEN Knut | 79 |
| 2 | MOSER Francesco | 79 |
| 3 | DE VLAEMINCK Roger | 74 |
| 4 | SARONNI Giuseppe | 65 |
| 5 | MARCUSSEN Jørgen | 70 |
| 6 | GIMONDI Felice | 78 |
| 8 | VANDI Alfio | 64 |