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 = 0.1 * weight + 3
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | HELVEN Sander | 74 |
| 2 | DE VREESE Laurens | 78 |
| 3 | JARRIER Benoît | 69 |
| 4 | DRON Boris | 72 |
| 5 | GOOLAERTS Michael | 80 |
| 7 | DEGENKOLB John | 82 |
| 8 | VAN ASBROECK Tom | 72 |
| 9 | HUTAROVICH Yauheni | 71 |
| 10 | VANBILSEN Kenneth | 73 |
| 11 | DUPONT Timothy | 72 |
| 12 | ŠIŠKEVIČIUS Evaldas | 80 |
| 13 | DRUCKER Jempy | 75 |
| 14 | BARBIER Rudy | 79 |
| 15 | VEREECKEN Nicolas | 72 |