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 + 32
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MASSON Émile | 77 |
| 2 | BUDTS Louis | 78 |
| 3 | VERMANDEL René | 75 |
| 4 | BEECKMAN Théophile | 61 |
| 6 | HELLEBAUT Hilaire | 74 |
| 7 | JORDENS Albert | 72 |
| 10 | BRAECKEVELDT Léon | 73 |
| 12 | VAN AKEN Léon | 73 |
| 13 | WENDELS René | 72 |
| 14 | GOVAERT Karel | 72 |
| 15 | MATTON Jules | 73 |
| 16 | MARCHAND Joseph | 74 |
| 17 | VAN BREE Charles | 71 |
| 23 | ALLARD Henri | 69 |
| 26 | LAMPAERT Maurice | 74 |