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 = -0.1 * weight + 18
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MOTTIAT Louis | 65 |
| 2 | VERMANDEL René | 75 |
| 3 | HEUSGHEM Hector | 86 |
| 4 | COOMANS Jacques | 62 |
| 5 | BUYSSE Lucien | 68 |
| 8 | DEJONGHE Albert | 81 |
| 9 | HELLEBAUT Hilaire | 74 |
| 10 | BETHS François | 77 |
| 11 | MASSON Émile | 77 |
| 13 | VAN AKEN Léon | 73 |
| 15 | VAN MOL Karel | 68 |
| 16 | BEECKMAN Théophile | 61 |
| 17 | VAN BREE Charles | 71 |
| 18 | HUDSYN Pierre | 71 |
| 20 | LAMPAERT Maurice | 74 |