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 = 0.4 * weight - 18
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | TULETT Ben | 56 |
| 2 | SHEFFIELD Magnus | 73 |
| 3 | NYS Thibau | 64 |
| 4 | VACEK Mathias | 75 |
| 5 | BRENNER Marco | 59 |
| 6 | MILESI Lorenzo | 70 |
| 7 | LAURANCE Axel | 66 |
| 8 | STAUNE-MITTET Johannes | 67 |
| 9 | ANDRESEN Tobias Lund | 69 |
| 10 | MIHKELS Madis | 75 |
| 12 | BRENNSÆTER Trym | 66 |
| 13 | TARLING Joshua | 78 |
| 17 | DOLVEN Halvor | 74 |
| 18 | HAYTER Leo | 66 |
| 19 | BALLERSTEDT Maurice | 76 |
| 22 | DE POOTER Dries | 66 |
| 25 | KVAM Kalle | 72 |