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 = 0.2 * weight - 9
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VAN STAEYEN Michael | 62 |
| 2 | ROBERT Fréderique | 68 |
| 3 | JULES Justin | 64 |
| 4 | BOECKMANS Kris | 76 |
| 5 | GIRAUD Benjamin | 71 |
| 6 | COQUARD Bryan | 59 |
| 7 | MARTINEZ Yannick | 69 |
| 8 | DE BACKER Bert | 73 |
| 9 | VAN DIJK Stefan | 74 |
| 10 | BARBÉ Koen | 75 |
| 11 | FEILLU Romain | 62 |
| 12 | VAN GENECHTEN Jonas | 67 |
| 15 | VAN ASBROECK Tom | 72 |
| 16 | VANOVERBERGHE Arthur | 65 |
| 18 | HOVELIJNCK Kurt | 75 |