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 - 17
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
Downing
1
64 kgDean
2
72 kgKristoff
3
78 kgMaes
5
78 kgvan Poppel
6
78 kg
1
64 kgDean
2
72 kgKristoff
3
78 kgMaes
5
78 kgvan Poppel
6
78 kg
Weight (KG) →
Result →
78
64
1
6
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DOWNING Russell | 64 |
| 2 | DEAN Julian | 72 |
| 3 | KRISTOFF Alexander | 78 |
| 5 | MAES Nikolas | 78 |
| 6 | VAN POPPEL Boy | 78 |