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 = 2.1 * weight - 116
This means that on average for every extra kilogram weight a rider loses 2.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | MAHĎAR Martin | 61 |
| 5 | BROWN Arran | 75 |
| 8 | IMPEY Daryl | 72 |
| 12 | HADDI Soufiane | 63 |
| 13 | JELLOUL Adil | 58 |
| 14 | PETROV Danail Andonov | 63 |
| 15 | LAHSAINI Mouhssine | 77 |
| 18 | CHAOUFI Tarik | 65 |
| 20 | JURČO Matej | 69 |
| 28 | LAGAB Azzedine | 63 |
| 33 | JANSE VAN RENSBURG Reinardt | 74 |
| 45 | KÜÇÜKBAY Kemal | 70 |
| 50 | TANNER Jake | 76 |
| 79 | KAL Miraç | 72 |
| 88 | HASNAOUI Maher | 80 |