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 - 16
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ANDERSEN Christian | 71 |
| 2 | MAIGNAN Gilles | 63 |
| 4 | GONO Marcel | 69 |
| 5 | PLANCKAERT Jo | 70 |
| 6 | CASSANI Enrico | 65 |
| 7 | HOLM SØRENSEN Brian | 77 |
| 9 | FEYS Wim | 80 |
| 10 | GAUMONT Philippe | 77 |
| 11 | ELLI Alberto | 71 |
| 12 | VINOKOUROV Alexandre | 68 |
| 12 | TCHMIL Andrei | 75 |
| 14 | KNAVEN Servais | 68 |
| 15 | VOIGT Jens | 76 |