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 - 21
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ALAVOINE Jean | 73 |
| 2 | DUBOC Paul | 67 |
| 3 | DEVROYE Henri | 62 |
| 4 | HANLET Henri | 70 |
| 6 | SPIESSENS Alfons | 72 |
| 8 | CORNET Henri | 69 |
| 9 | COOLSAET Louis | 73 |
| 12 | DUPONT Albert | 68 |
| 13 | PAUL Ernest | 77 |
| 14 | CRUCHON Charles | 67 |
| 16 | DHULST Vincent | 72 |
| 18 | BEYENS Jules | 71 |