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 + 40
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VERMANDEL René | 75 |
| 3 | MASSON Émile | 77 |
| 5 | DEJONGHE Albert | 81 |
| 6 | JORDENS Albert | 72 |
| 7 | BUDTS Louis | 78 |
| 8 | DEFRAEYE Odiel | 67 |
| 9 | BUYSSE Lucien | 68 |
| 10 | BETHS François | 77 |
| 11 | ANSEEUW Urbain | 76 |
| 15 | VAN DAELE Joseph | 68 |
| 16 | LENAERS Victor | 80 |
| 17 | NYSSEN Guillaume | 74 |
| 20 | STANDAERT Alfons | 72 |
| 21 | WENDELS René | 72 |
| 24 | LAMPAERT Maurice | 74 |
| 25 | VAN AKEN Léon | 73 |