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 = -1.2 * weight + 116
This means that on average for every extra kilogram weight a rider loses -1.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BROWN Arran | 75 |
| 2 | PETROV Danail Andonov | 63 |
| 5 | LAHSAINI Mouhssine | 77 |
| 6 | HASNAOUI Maher | 80 |
| 10 | HADDI Soufiane | 63 |
| 12 | TANNER Jake | 76 |
| 24 | KÜÇÜKBAY Kemal | 70 |
| 25 | IMPEY Daryl | 72 |
| 33 | JELLOUL Adil | 58 |
| 38 | JURČO Matej | 69 |
| 39 | CHAOUFI Tarik | 65 |
| 58 | JANSE VAN RENSBURG Reinardt | 74 |
| 63 | LAGAB Azzedine | 63 |
| 68 | MAHĎAR Martin | 61 |
| 89 | KAL Miraç | 72 |