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 + 19
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | JANSSENS Jimmy | 74 |
| 2 | VAN DEN BRAND Twan | 71 |
| 3 | LAENGEN Vegard Stake | 79 |
| 5 | KREDER Wesley | 71 |
| 6 | DE MAN Jaap | 68 |
| 8 | MEURISSE Xandro | 71 |
| 9 | GAIMON Phillip | 67 |
| 10 | SÉNÉCHAL Florian | 77 |