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 = -0.7 * weight + 63
This means that on average for every extra kilogram weight a rider loses -0.7 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DEFRAEYE Odiel | 67 |
| 2 | BUDTS Louis | 78 |
| 4 | DEJONGHE Albert | 81 |
| 5 | VERMANDEL René | 75 |
| 6 | MASSON Émile | 77 |
| 7 | LENAERS Victor | 80 |
| 8 | NYSSEN Guillaume | 74 |
| 11 | ANSEEUW Urbain | 76 |
| 13 | BETHS François | 77 |
| 15 | WENDELS René | 72 |
| 16 | STANDAERT Alfons | 72 |
| 17 | LAMPAERT Maurice | 74 |
| 18 | VAN AKEN Léon | 73 |
| 19 | JORDENS Albert | 72 |
| 21 | BUYSSE Lucien | 68 |