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 = -0.6 * weight + 71
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | REUS Kai | 70 |
| 3 | COZZA Steven | 70 |
| 6 | LACOMBE Keven | 81 |
| 11 | RUIJGH Rob | 64 |
| 20 | PLAXTON Max | 70 |
| 22 | ROELANDTS Jürgen | 78 |
| 26 | MEIER Christian | 61 |
| 27 | NEYENS Maarten | 74 |
| 44 | BEYER Chad | 63 |
| 46 | LEWIS Craig | 65 |
| 94 | HATANAKA Yusuke | 72 |