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 * weight + 9
This means that on average for every extra kilogram weight a rider loses -0 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BROWN Nathan | 65 |
| 4 | BREYNE Jonathan | 83 |
| 5 | ELISSONDE Kenny | 52 |
| 6 | WAEYTENS Zico | 67 |
| 7 | HOFLAND Moreno | 71 |
| 8 | DÉMARE Arnaud | 76 |
| 9 | FLAKSIS Andžs | 79 |
| 10 | MANNION Gavin | 58 |
| 11 | MANNAERTS Jelle | 73 |
| 13 | SKUJIŅŠ Toms | 70 |
| 14 | COMBAUD Romain | 63 |
| 18 | DRUYTS Gerry | 69 |