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 = -40.2 * weight + 3046
This means that on average for every extra kilogram weight a rider loses -40.2 positions in the result.
Fignon
1
67 kgFernández
2
68 kgDe Wolf
3
75 kgMoser
10
79 kgSaronni
990
65 kg
1
67 kgFernández
2
68 kgDe Wolf
3
75 kgMoser
10
79 kgSaronni
990
65 kg
Weight (KG) →
Result →
79
65
1
990
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | FIGNON Laurent | 67 |
| 2 | FERNÁNDEZ Juan | 68 |
| 3 | DE WOLF Fons | 75 |
| 10 | MOSER Francesco | 79 |
| 990 | SARONNI Giuseppe | 65 |