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 = -0.8 * weight + 63
This means that on average for every extra kilogram weight a rider loses -0.8 positions in the result.
Gieryk
1
71 kgCushway
2
67 kgWalton
3
68 kgGajdulewicz
9
67 kgVerbrugghe
16
64 kgWhitcher
18
71 kgSavioz
21
53 kg
1
71 kgCushway
2
67 kgWalton
3
68 kgGajdulewicz
9
67 kgVerbrugghe
16
64 kgWhitcher
18
71 kgSavioz
21
53 kg
Weight (KG) →
Result →
71
53
1
21
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GIERYK Kacper | 71 |
| 2 | CUSHWAY Maximilian | 67 |
| 3 | WALTON Jonas | 68 |
| 9 | GAJDULEWICZ Mateusz | 67 |
| 16 | VERBRUGGHE Jens | 64 |
| 18 | WHITCHER Jamie | 71 |
| 21 | SAVIOZ Colin | 53 |