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 = 0.8 * weight - 45
This means that on average for every extra kilogram weight a rider loses 0.8 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | MASSELIS Jules | 65 |
| 3 | DUBOC Paul | 67 |
| 4 | ALAVOINE Jean | 73 |
| 5 | DUPONT Albert | 68 |
| 8 | HANLET Henri | 70 |
| 9 | DEVROYE Henri | 62 |
| 10 | DHULST Vincent | 72 |
| 11 | BUYSSE Marcel | 72 |
| 12 | DEFRAEYE Odiel | 67 |
| 14 | CRUCHON Charles | 67 |
| 16 | CORNET Henri | 69 |
| 17 | PAUL Ernest | 77 |
| 19 | LAMBOT Firmin | 69 |
| 20 | SPIESSENS Alfons | 72 |
| 22 | BEYENS Jules | 71 |
| 23 | COOLSAET Louis | 73 |