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 = -0.3 * weight + 29
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
Brochard
4
68 kgCapelle
7
73 kgBauer
10
72 kgArmstrong
14
72 kgFarazijn
21
69 kg
4
68 kgCapelle
7
73 kgBauer
10
72 kgArmstrong
14
72 kgFarazijn
21
69 kg
Weight (KG) →
Result →
73
68
4
21
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | BROCHARD Laurent | 68 |
| 7 | CAPELLE Christophe | 73 |
| 10 | BAUER Steve | 72 |
| 14 | ARMSTRONG Lance | 72 |
| 21 | FARAZIJN Peter | 69 |