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 = -0.3 * weight + 27
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | HOFLAND Moreno | 71 |
| 2 | LEEZER Tom | 76 |
| 3 | AMORISON Frédéric | 70 |
| 4 | VAN EMDEN Jos | 78 |
| 5 | SCHNAIDT Fabian | 70 |
| 7 | HONKISZ Adrian | 61 |
| 8 | PEETERS Kevin | 67 |
| 10 | GONÇALVES José | 70 |
| 12 | WILLIAMS Christopher | 75 |
| 14 | MCCONVEY Connor | 67 |
| 15 | LAPTHORNE Darren | 70 |