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 - 13
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | LAUWERS Stan | 76 |
| 3 | VLAEMYNCK Lucien | 63 |
| 5 | KINT Marcel | 74 |
| 6 | GIJZEN Albert | 84 |
| 7 | LOWIE Jules | 68 |
| 8 | VISSERS Edward | 65 |
| 10 | STORME Lucien | 72 |
| 15 | NEUVILLE François | 80 |
| 17 | MIDDELKAMP Theo | 75 |
| 20 | MOERENHOUT Jef | 72 |
| 22 | MASSON JR Émile | 78 |