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 = -0.1 * weight + 11
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Bruyneel
1
71 kgLlach
4
58 kgChiappucci
6
67 kgUgrumov
7
58 kgWalton
10
68 kg
1
71 kgLlach
4
58 kgChiappucci
6
67 kgUgrumov
7
58 kgWalton
10
68 kg
Weight (KG) →
Result →
71
58
1
10
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BRUYNEEL Johan | 71 |
| 4 | LLACH Joaquin | 58 |
| 6 | CHIAPPUCCI Claudio | 67 |
| 7 | UGRUMOV Piotr | 58 |
| 10 | WALTON Brian | 68 |